THE harmonic balance (HB) method is probably the

Size: px
Start display at page:

Download "THE harmonic balance (HB) method is probably the"

Transcription

1 ECE 5 MODELING OF MULTIPHYSICS SYSTEMS The Haronic Balance Method Hans-Dieter Lang, Xingqi Zhang (ECE 5 project report, Spring ) Abstract The haronic balance ethod is used in ost current coercial RF siulation tools. This is due to the fact that it has certain advantages over other coon ethods used in SPICE, naely (odified) nodal analysis (MNA), which ake it better suited to siulate stiff probles and circuits containing transission lines, nonities and dispersive effects. In this project, the haronic balance algorith is derived and explained; a basic haronic balance solver is developed and ipleented in Matlab and applied to soe basic and non circuits. Index Ters haronic balance, non circuit, rf circuit I. INTRODUCTION THE haronic balance (HB) ethod is probably the ost coon technique to siulate icrowave and RF circuits, since it can efficiently account for transission line and non effects, operating in a periodic or quasi-periodic steady-state regie. It is known to be fast, effcient and versatile. With it being a (hybrid) frequency-doain ethod, dispersive effects can also be included and it coonly the ethod of choice for the optiization of circuits and circuit paraeters [5], []. The HB ethod is used in the industry s leading icrowave and RF siulation tools, such as Agilent s ADS/Genesys, AWR Microwave Office, Ansoft s Designer/Nexxi and Cadence Virtuoso Spectre. Nowadays, when people talk about haronic balance ethods, what is eant is what was originally known as piecewise haronic balance ethod [], thus in this project only this version will be considered. A. Tie-Doain Analysis The odified nodal analysis (MNA) ethod [], ost coonly used by SPICE-like circuit siulators, is a wellknown and powerful technique to for a atrix equation syste of the for Gx + Cẋ = Bu () fro a given circuit in the tie-doain. The ter odified refers to the fact that x does not contain only node voltages but also certain currents, to overcoe the shortcoings of the standard nodal analysis ethod and be able to siulate ideal voltage sources and inductors. Thus, MNA and tie-doain solutions in general are able to siulate circuits containing all kinds of luped circuit eleents but it has soe shortcoings: [] [5] Hans-Dieter Lang (ID 8599), and Xingqi Zhang, (ID ) are PhD and aster students, respectively, with the electroagnetics group, part of the ECE departeent of the University of Toronto, Ontario, Canada. Contact: {hd.lang,xingqi.zhang}@ail.utoronto.ca extending transient analysis out to steady-state is coputationally inefficient issues with stiff probles (poor convergence, long siulation tie, etc.) dispersion is hard to ipleent (since frequency-doain described odels cannot be ipleented) not effective for optiization and statistical analysis. These weaknesses only appear in special cases, including icrowave circuits (especially those including transission line effects) resulting in stiff probles (where usually several periods, e.g. to [] periods are neccessary for steadystate approxiations; for high-q problees even any ore), switched capacitor and crystal/cavity filters and ultitone excitation. B. Frequency-Doain Analysis Frequency-doain ethods usually solve for steady-state solutions by inverting a atrix equation syste siilar to [ G + jωc ] x(ω) = Bu(ω) () where each the solutions are obtained for each point in the frequency directly. For a sall nuber of frequencies this can therefore be considerably ore efficient than using tiedoain ethods, since the dynaic operations such as differentiation and integration becoe siple algebraic operations [5]. However, with the standard principle only solutions of tie-invariant circuits can be obtained. C. Haronic Balance A Hybrid Method The haronic balance ethod is a hybrid tie- and frequency-doain approach, which allows all the advantages of non tie-doain device odelling, cobined with the strength (naely efficiency) of the steady-state frequencydoain technique. The nae stes fro the idea of balancing the currents obtained fro the non subcircuits (via tie-doain) and the currents fro the subcircuits at the subcircuit interfaces, in the frequency-doain, as illustrated in Fig.. As discussed in the lectures, powerful odel-order reduction (MOR) techniques were developed to overcoe these probles by approxiating only parts of interest. However, in this project only full-order probles (not approxiated) are considered. The balancing can also be done in the tie doain, which is usually called tie-doain haronic balancing or wavefor balancing [5], which however is not considered any further, here.

2 ECE 5 MODELING OF MULTIPHYSICS SYSTEMS frequency ω s is the lowest frequency in the syste (apart fro DC) and thus, usually ω = ω s is used. However, ω could also be chosen as / or /ω s, etc. In this project report the following notation will be used for the discrete Fourier transfor (DFT, FFT): i subcircuit ^i non subcircuit Fig. : Illustration of the haronic balance principle: the algorith tries to balance the currents (haronics) fro the and non subcircuits in the frequency doain by iteratively coparing the and applying adequate changes. D. Alternatives There are only a few alternatives to tie-doain transient ethods (possibly using a prohibitively sall tie step) and the haronic balance ethod, for exaple: Volterra series [6], which decopose the nonity into a weighted power series. This is only suitable for weakly non probles, where only a few higher-order ters are sufficient to discribe all effects. Shooting ethods [], where the transient response is bypassed by iteratively choosing the initial conditions to achieve steady state. Due to efficiency considerations, this is only suitable for periodic probles with a sall period. E. Notation Throughout this docuent italic letters refer to scalar variables, sall bold letters to vectors and capital bold letters to atrices, everywhere. For the voltages and currents, the sae sybols are used for tie and frequency doain, i.e. v, i (and x as in Eqns. () and ()); the distinction will either becoe apparent fro the context or the respective doain is specified in brackets, whenever necessary. The quantities resulting fro nonities are set with a hat, e.g. ^i, to separate the fro the quantities (appearing at the sae node). A. Preliinaries II. BALANCING THE HARMONICS HB uses the assuption that the total voltage can be (approxiately, but accurately enough) coposed of the finite Fourier series K = v(k) e jkωt K n, n N () k= K+ with the phasors v(k) C. Thus, the signal is periodic v(t + T ) = () with period T = π/ω. In the single-tone cases with siple nonities it is usually assued that the excitation There are also forulations for alost periodic functions, see [9], []. v(ω) = F (5) where using the twiddle factor w = e jπ/k the DFT atrix of diension K K is w w w k w K w F = w w k w (K ) K..... w k w k w k w k(k )..... w K w (K ) w k(k ) w (K ) and siilarly = F v(ω). Further, using the fact that F = KF * (6) F has never actually to be inverted. Note that only for this derivation the DFT is stated in atrix for; in the later ipleentation the FFT algorith is used. Assuing that the output signal is real, we know that its spectru is Heritian; thus we only have to consider K + frequencies (K haronics and DC), where for axiu efficency of the FFT algorith K should be chosen as n with n N. B. Non Systes The ost general for of equation to odel non circuits is [] d q(v) + i(v) + u = (7) dt where the fact that v = and u = u is oitted to keep the equation less crowded. Note that both q( ) and i( ) can be non functions; the first aps the vector v consisting of ostly voltage potentials to a vector whose entries are ostly sus of capacitive charges or inductive fluxes and the latter ostly accounts for conductive and non source effects. If q( ) is (i.e. there are no non capacitive or inductive effects ) and i(v) = Gv + can be split in a and a non part this results in the non equivalent of Eqn. (): C + G + g() + u = (8) Within this project only this type of non systes will be considered. Non inductive effects are rarely used in icrowave circuits [] but non capacitors are coonly found, ostly in for of varactors.

3 LANG / ZHANG: THE HARMONIC BALANCE METHOD C. Derivation The following brief derivation focuses on the circuit shown in Fig. but can easily be generalized. The derivation is necessary since the forulas in [6] are incoplete, see to contain soe errors and did not lead to a useful algorith. The underlying idea is siilar, but follows ore the one in [], with a different attept at the Jacobian. excitation R i s i v = i ^i v non Fig. : Siple circuit consisting of three parts. The currents fro the non and subcircuits (sides) at node have to be balanced, eaning the sae (but of opposite sign), in for all haronics in the frequency doain k [,, K]: i (kω ) + ^i (kω ) = k i (ω) +^i (ω) = (9) ) Linear subcircuit: The current is given by i (ω) = Y v i (ω) +Y v = Y s +Yv. () i s(ω) and since the node nuber is the only reaining node, this specification will be oitted to siplify notation. Thus stands i(ω) = Y s + Yv = i s (ω) + i lin (ω). () ) Non subcircuit: The non current ^i(ω) is obtained by taking the inverse Fourier transfor of the (presuably not yet correct) node voltage in the frequency doain, applying the nonity in the tie doain, and transforing back to the frequency doain. Note that for this procedure, the voltage vector is used in full (not just K entries) using the conjugate-coplex values at the right spots and thus K tie saples are obtained: v(ω) v K * (ω) R K = F. v * (ω) v(ω) C K+ (5) ) The algorith: The HB algorith works as illustrated in Fig., naely: ) Initial guess v (could also be in frequency doain). Most coonly a zero initial value is used, however also daped versions of the excitation and ipulses (or noise, with broad spectral content) can be good start values 5. ) Apply nonity in the tie doain, either via non conductivity ^i = or directly as voltagedependent current as for the diode current in this case: ^i(v) = ^i d () = I s ( e v/v T ) (6) in the actual vector for ^i = ^i (v ) (7a) = ^i d (v ) = ^i d ( F v (ω) ) (7b) ) Go back to frequency doain ^i (ω) = F ^i = F ^id ( F v (ω) ) (8) The source coponents are Y () Y (ω )... i s (ω) = Y s = Y(kω)... Y(Kω). ) Check if the haronics are balanced using the cost function in the frequency doain f(v ) = i (ω) +^i (ω) (9a) = Y s + Yv + F ^i d ( F v ) (9b) 5 Especially when considering oscillators (without excitations), as shown later, zero initial guess leads to wrong (or rather the trivial zero) solutions = Diag[y (ω)] () and the coponents due to the interface voltage v siilarly, are, i lin (ω) = Yv = Diag[y (ω)] v () where Y and Y are the respective (generally frequencydependened) entries of the adittance atrix of the subcircuit (in the frequency doain, thus a vector of K + entries). Diag[ ] is an operator putting the input vector in diagonal atrix for. And the vector of unknowns in the frequency doain is v = [ v(), v(ω ), v(ω ),, v(kω ),, v(kω ) ] T () Initial guess v Nonity ^i = v Tie doain v ^i F F Frequency doain v (ω) i (ω) ^i (ω) Update v + = v J f(v) f(v) < ε? Fig. : Algorith working principle. converged v(ω)

4 ECE 5 MODELING OF MULTIPHYSICS SYSTEMS ) If the convergence criteria were not satisfied, updated the voltages using the cost function and its Jacobian (still in the frequency doain): v + = v J f(v ) () 5) Start the process over, by going to the tie doain, to apply the nonity once ore. The ain proble is finding the Jacobian: J = df(v) dv v=v (ω) J ij = f i(v) Following the previous notation, the Jacobian can be found colun-wise according to (for the jth colun) J j = f(v) = Y j + ^i(ω). () The derivative of the non current can be found using in the definition fro Eqn. (7b) [ F v ^i ] d (F v(ω)) j = F ^id (F v(ω)) () where the place holder τ = F v(ω) is introduced to solve the partial derivative of the non diode current according to (F v(ω)) = ^i d (τ) τ (a) ^id τ τ=f v = ^i d(f v(ω)) * F j (b) where F j is the jth colun of the IDFT atrix and the asterisk denotes a point-wise ultiplication (not a convolution). The derivative of the current can be found analytically in this case, since the diode current is known in for of a siple exponential function; thus ^i d can reain in the result. A better notation is foring a diagonal atrix, to ultiply the vector with: d (F ^i v(ω)) = Diag(^i d(f v(ω)))f j. () After this, coon atrix ultiplication can be applied which leads to the sae result. Thus, one-by-one (for each colun j independently) the coluns of the Jacobian are obtained, leading to the total atrix J = Y + F Diag(^i d(f v(ω)))f (5) where we only the j specifying the respective row of the IDFT atrix had to be reoved. Note that this result derivation differs 6 fro the one in [6]. As stated before, we do not have to actually invert the DFT atrix but can use the conjugate-coplex instead. Also, since the diension of the tie-doain values is R K but the one of the frequency-doain values is v(ω) C K+, the DFT atrix is of (rectangular) size K + K and the inverse turns out to be not just the conjugate-coplex but the Heritian. Thus, the ipleented Jacobian is finally [ J = Y + KF Diag(i d(kf H v(ω)))f H] (6) and is of size C K+ K+. 6 There appear to be soe istakes in the derivation in appendix A.6. D. Ipleentation of the algorith The next few subsections express soe details of the ipleentation of the algorith in Matlab. ) Nonity stap: In this project the MNA code fro previous assignents was adapted to now also account for (single-port) nonities. The new coand is defined as Nvalue node+ nodewhere as usually value can by any value to distinguish the nonity and node+ and node- are the anode and cathode nodes, respectively. The MNA code then interprets this as a voltage source (thereby also adding the current through it to the vector of unknown variables) with unit voltage. Further, it produces the input atrix B R N Ns, where N is the total nuber of variables and N s is the nuber of sources and nonities, along with the source vector u C Ns, as shown in Eqns. () and (), whereas previously a source vector b = Bu R N was used, directly. ) Adittance atrices: With the input atrix B and the source vector u separate, the way to get the required source and nonity adittance atrices is straightforward: According to the definition, the (self-) adittance at (non) port and the adittance as seen fro the source are: Y = i Y s = i (7) v vn=, n vn=, n Since all v n are either source or non port voltages and thus accounted for in the source vector u, the atrix entries can be obtained according to, for exaple v = (G + jkω C) Bu (8) Y (kω ) = i NL u NL u NL= i NL (9) where u n refers to an excitation vector with only entry n (for port n) equal to, thus exciting the syste only at that one port (with unit aplitude) and i NL v is an entry in the vector of unknowns v (consisting of the voltages of the regular and currents of the odified MNA equations). The way the new NodalAnalysis() script is set up, the non currents are always at the end of the vector of unknowns v. While this way a very general code results, there are soe shortcoings: whenever the nonities of the circuit to be siulated lie (alost) in parallel to one another, by shorting one out, others get shorted out as well and the adittance atrix only has (alost) zero entries. Thus, these circuits, e.g. full-wave rectifier, can not be siulated with the current ipleentation. ) Source stepping: Source stepping proved to increase the rate of convergence of non probles for the MNA ethod, before. The sae is true for HB at an even greater extent. Soe probles, especially involving strong nonities (e.g. diodes) along with dynaic eleents (capacitors and/or inductors) do not converge without it, but instead the solution becoes unstable and blows up or leads to singular atrices. In this project the siplest way of source stepping was ipleented. Since the source is only contained in the cost

5 LANG / ZHANG: THE HARMONIC BALANCE METHOD 5 function, the source stepping variable λ is used there, leading to f(v) = λ Y s + Yv + F i d ( F v ) () where the initial value in the range of λ [.,.5] was ost coonly used and the update is λ + = λ + Δλ { Δλ Δλ + if v converged in M steps = Δλ if v did not converge in M steps () where the initial update Δλ was usually chosen in the range Δλ [.,.5]. Using source stepping proved ost effective with zero initial values; v =. For fair coparisons the sae was ipleented in the MNA ethod. ) Speed-up using FFT: As entioned during the derivation, ipleenting the algorith using the DFT in atrix for is not efficient, especially when a large nuber of haronics is looked for. The atrix ultiplications fro left can siply be replaced with the respective FFT/IFFT functions 7. The ultiplication fro right with the Heritian transpose F H fro right can be done using the Matlab coands KF [ Diag(i d())f H] = ifft(fft(diag(did)). ). () where. stands for the (noral) transpose and did is the differentiated diode current vector in the tie doain, ^i d, consisting of K saples. Note that this result (despite the fact that an IFFT was used last) is in the frequency doain and that only a (square) subatrix ranging over the entries fro indices to K + are used (since the negative side of the spectru is the coplex conjugate of the positive side). 5) Coplex variables: Norally, the variables have to be split into real and iaginary parts [], thereby alost doubling the size of the proble. However, since this algorith was ipleented in Matlab, which can work with coplex variables directly, this was not done here. Additionally, it is coon to zero out [] the iaginary part of the DC coponent in the spectru (since it is expected to be zero in the end anyway) or to not consider it at all, when the variables are split up. Personal experience shows that this in fact can help the rate of convergence for soe circuits, but also leads to ore severe probles for others. Thus, if convergence is not achieved or achieved to slowly, zeroing/not zeroing out the iaginary part of the DC could help. III. NONLINEAR CIRCUITS Essentially, with non circuits, the transfer characteristic is a function of the signal level, in addition to all the other paraeters for circuits. As Stephen Maas, well-known researcher, author and now director of technology at AWR, writes in [] "All electronic circuits are non: this is a fundaental truth of electronic engineering." 7 Note that the fft() and ifft() coands in Matlab use a different noralization than can be expected; thus the FFT result is divided by the length of the vector, whereas the IFFT is ultiplied by it. Still, it is not necessarily easy to find a good exaple for non and stiff circuits. The traditional way to show nonities is tho show the generation of new frequencies using a power series with ulti-ode excitation, copare spectra, etc. [5], [] In the following the use and perforance of the haronic balance algorith will be discussed for the following basic non circuits: Half-wave rectifier with filter capacitor Half-wave doubler (to show ultiple nonities) Mixer diode (to show effects of ultiple excitations) Van der Pol oscillator (to show a different kind of nonity) Clearly, this list could be extended alost indefinitely, but it is believed that the ost iportant characteristics of the haronic balance ethods can be seen fro these exaples and thus no further ciruits were considered. A. Half-wave rectifier with capacitor The first exaple, as shown in Fig., is basically the sae as used in the derivation of the haronic balance ethod (see Fig. ), only that in this case the diode is "floating" (i.e. has two non-zero nodes) and an additional dynaic eleent in for of the output RC filter has been added. excitation i s i R L R C i ^i v i ^i non Fig. : Half-wave rectifier with capacitor and load. Fig. 5 shows the expected result in the tie-doain: depending on the tie constant of the output RC circuit, it takes a large nuber of periods for the output voltage (v, blue) to reach steady-state (approxiatively, e.g. with an overall L error < 6 ). Voltage (V), Current (A) 5 5 Tie (s) v v i d x Fig. 5: Tie doain (MNA) result of the filtered half-wave rectifier circuit.

6 6 ECE 5 MODELING OF MULTIPHYSICS SYSTEMS While the errors are generally coparable (see Fig. 6), the coparison of the coputational efficiency leads to the expected conclusion: the haronic balance ethod is uch ore efficient in calculating the steady-state of this circuit. While the CPU tie of the MNA solution increases with B. Half-wave doubler rectifier The Delon bridge voltage doubler consists of two diodes and two capacitors, as shown in the scheatic in Fig. 8. To show that the siulator can handle two nonities totally independently fro one another and with different dynaics, the capacitor values were chosen differently: C = C = F, R L = kω and R = Ω, peak = V ( Hz). i ^i Absolute error MNA L HB L MNA L HB L MNA L HB L Nuber of haronics K+ i s excitation i R R L C C v d i ^i v d i ^i non Fig. 6: Coparison of the absolute errors of HB and MNA vs. nuber of haronics K +, for various tie constants τ = R LC. increasing tie constant τ (slower dynaic of the output, therefore longer tie until the steady-state is reached), it stays (alost) constant for HB. Thus, as long as the total nuber of haronics can be held sall (i.e. for exaple lower than 6), then HB is (uch) ore efficient. For large nubers of haronics, eventually the coputational deands of the HB increase faster than for the MNA. This akes sense, since for the tie-doain ethod to achieve ore haronics only soe ore saples in the tie-doain have to be calculated (and then Fourier transfored), whereas for the HB the ipedance atrices increase for each additional haronic. Thus, for large nubers of haronics (i.e. broadband siulations), the HB should probably not be the ethod of choice. Also, if the dynaics are very fast, the coputational deands are coparable. CPU tie (s) MNA = MNA = MNA = HB = HB = HB = Fig. 8: Delon bridge voltage doubler circuit. The tie- and frequency-doain plots in Fig. 9 show the expected behavoir: the dynaics in the upper and lower part of the rectifier differ, with the voltage at the upper capacitor C dropping ore than the one of capacitor C (since it is has a larger capacitance and thus a greater filter effect). A siilar result can be seen in the spectru: the DC-offset is larger at the second diode, while the first haronic is of a coparable level. Voltage Tie (a) Solution in tie doain Haronic k (b) Spectru of the solution v d v d v c v c V d V d Fig. 9: Solution of the Delon bridge voltage doubler. Nuber of haronics K+ Fig. 7: CPU tie consuption vs. nuber of haronics K +, for various RC values. Error C. Diode as ixer As coonly used in icrowave and RF circuits, due to its nonity, a diode can serve as frequency ixer eleents. Fig. 6 6 shows the basic diode ixer scheatic, where two Iteration excitations act on a single nonity.

7 LANG / ZHANG: THE HARMONIC BALANCE METHOD 7 i s i v = R Voltage Input : v Input : v At diode: v Output: v i s 5 i 5 R C i ^i v i ^i Tie step t 7 n DC. 8 At diode: v ( ) Output: v ( ) R L R 5 6 Frequency k excitation non Fig. : Diode as ixer: tie signals and spectra. Fig. : Two-tone diode ixer circuit. The Taylor expansion of the diode current function reveals the power series ( ) i d (v) = I s (e v/v T v ) = + v v T vt + v vt () Thus, when the voltage consists of two cosines of different frequencies v = cos ω + cos ω () then because of the non conductance behavoir of the diode, besides the excitation frequencies, other frequencies result. Fro the second- and third-order ters follow: v = + cos ω t + cos ω t + cos(ω t ± ω t) v = 9 (cos ω t + cos ω ) + (cos ω t + cos ω t) + ( ) cos(ω t ± ω t) + cos(ω t ± ω t) This is confired by the haronic balance siulation, where the excitation frequencies were ω = 7ω and ω = ω and the second-order products +7 = 8 and 7 = as well as = and 7 = can be seen right away. The third-order products are already uch sall in aplitude, but together with higher-order ters for a ore "noisy" spectru around the doinant odes. As can also be seen, the output high-pass filter does its job well: there is no DC in the output signal. Multi-tone siulations with nonities generally lead to any non-zero values spread over a wide band of the spectru, thus the nuber of haronics K has to be chosen high enough, in order to avoid aliasing effects of frequencies which cannot be resolved correctly. The priary proble is to find the first haronic ω. As in this case, it can be chosen siply as the coon factor of the source frequencies, which however in soe cases could require a very finely resolved spectru and lead to an inefficient solution. Luckily there are soe special techniques available, which do allow better and ore efficient solutions. [], [] As in previous cases, also in this case source stepping greatly iproved convergence. For ore coplex probles it could be helpful to source-step the excitations separately (for exaple if there are other nonities only acting on one of the excications), but this was not further investigated in this project. D. Oscillator As last exaple, the well-known Van der Pol oscillator is introduced. Instead of a diode it contains a nonity in for of a resistor with a voltage-dependend conductivity: = v (5) i(v) = v = v v (6) Thus, the resistor has a negative conductance around for sall v. The total oscillator is a parallel circuit of this resistor, a capacitor and an inductor, as shown in Fig.. i C + i L = i L C v ^i = ^i R non Fig. : Siple circuit consisting of three parts. According to Kirchhoff s current law follows i L + i C + ^i R = (7) with the current/voltage relations of the capacitor and inductor i C = C v (8) v = L i L. (9)

8 8 ECE 5 MODELING OF MULTIPHYSICS SYSTEMS Using the KCL also follows i L = (i C +^i R ) for the inductor current. Filling in the currents through the resistor and the capacitor and filling everything into Eqn. (9) follows the differential equation v = L d dt (i C + ^i R ) = LC v v v v () v where the rule fro calculus d = v () dt v t was used. By taking the derivative of the current function and rerranging the ters follow the so-called Van der Pol differential equation LC v + L(v ) v + v = v + ε(v ) v + v = with ε = /C = L for the later (ore atheatical, [9]). Note that for ε = (and non-zero initial conditions) this becoes the noral haronic oscillator equation with sinusoidal solutions. For ε, this leads to the well-known liit cycle attractor proble, as illustrated in Fig. (b). of a plane surface which rotates everything around the axis noral to this docuent. Thus, for exaple an initial value at will rotate around that axis in circular otion and eventually end up at the sae spot again. When the abscissa denotes the voltage, then the ordinate denotes the derivative thereof, leading to the coon cosine and sine functions over tie (as the tornado rotates). In the non case the tornado is still present, but over a hilly region. There is a hill in the iddle of the doain, a (non-circular but closed) valley around it and then hills on the other side, all around the center hill. A point soewhere on the hill will be rotated tue to the tornado, but will also go down the ountain (leading to a generally non-circular otion, copared to the origin). Eventually all points will end up in the valley and keep traveling in periodic but non-circular fashion. The abscissa gain denotes the voltage, whereas the ordinate is its derivative. The resulting voltage fors are illustrated in Fig.., t v (a) ε = (), t (a) ε = (): no attractors (b) ε = (soewhat non), t v (b) ε = (non): attracting liit cycle Fig. : Circular force field and attractors for coon haronic oscillator and Van der Pol oscillator A siple figurative interpretation is as follows: in the haronic case (Fig. (a)) there is a "tornado" at the origin (c) ε = (strongly non) Fig. : Voltages and derivatives of the Van der Pol oscillator, copared to the coon haronic oscillator (ε = ). When trying to siulate this oscillator, the ain proble is that the oscillating frequency cannot be calculated in closed for and the approxiations are only accurate enough if ε is sall (i.e. the circuit just weakly non). [] Thus, we can only take a guess (i.e. the frequency of the haronic oscillator) and use a K large enough. Fig. 5

9 LANG / ZHANG: THE HARMONIC BALANCE METHOD 9 shows the results obtained fro MNA and HB siulations. Both reveal soe probles: since the spectru should be discrete (since the function is periodic), the MNA result is soewhat inaccurate; ost likely because there were not enough periods siulated and the steady-state has not been reached. The HB ethod resulted in a very spiky spectru; the voltage appears to be soewhat too sooth whereas the derivative appears to be not sooth enough. Also, since the oscillation (if there is any) always occurs at the fundaental frequency ω, but it is not defined what this actually is, the frequency cannot be obtained this way. Also in this case there v dv/dt Noralized tie (period) 6 8 Frequency (a) MNA Noralized tie v dv/dt IV. SUMMARY & CONCLUSIONS When it coes down to the question: tie- or frequencydoain? The answer for icrowave and RF circuits is: both. The haronic balance ethod operates in both doains subcircuits frequency doain non subcircuits tie doain balance currents at interfaces (it can therefore can be considered a hybrid ethod) and is a powerful instruent to siulate circuits containing nonities as well as stiff dynaics. REFERENCES [] M. S. Nakhla, J. Vlach, A Piecewise Haronic Balance Technique for Deterination of Periodic Response of Non Systes, IEEE Transactions on Circuits and Systes, Vol., No., February 976 [] C.-W. Ho, A. E. Ruehli, P. A. Brennan, The Modified Nodal Approach to Network Analysis, IEEE Transactions on Circuits and Systes, Vol., No. 6, June 975 [] R. J. Gilore, M. B. Steer, Non Circuit Analysis Using the Method of Haronic Balance A Review of the Art. Part I. Introductory Concepts, International journal of Microwave and Millieter-Wave Coputer-Aided Engineering, Vol., No., pp. -7, 99 [] R. J. Gilore, M. B. Steer, Non Circuit Analysis Using the Method of Haronic Balance A Review of the Art. Part II. Advanced Concepts, International journal of Microwave and Millieter-Wave Coputer-Aided Engineering, Vol., No., pp. 59-8, 99 [5] Kenneth S. Kundert, Jacob K. White, Alberto Sangiovanni-Vincentelli Steady-state ethods for siulating analog and icrowave circuits, Kluwer Acadeic Publishers, 99 [6] Franco Giannini, Giorgio Leuzzi, Non Microwave Circuit Design, John Wiley & Sons, Ltd, 5 [7] H. G. Brachtendorf, G. Welsch, R. Laur Fast siulation of the steady-state of circuits by the haronic balance technique, 995 IEEE International Syposiu on Circuits and Systes, ISCAS 95., Vol., pp. 88-9, May 995 [8] George D. Vendelin, Anthony M. Pavio, Ulrich L. Rohde, Microwave Circuit Design Using Linear and Non Techniques, nd Edition, John Wiley & Sons, Ltd, 5 [9] Paulo J. C. Rodrigues Coputer-aided analysis of non icrowave circuits, Artech House, Inc, 998 [] Stephen A. Maas Non Microwave and RF Circuits, Artech House, Inc, [] O. Nastov, R. Telichevesky, K. Kundert, J. White, Fundaentals of Fast Siulation Algoriths for RF Circuits, Invited Paper, Proceedings of the IEEE, Vol. 95, No., March 7 [] D. W. Jordan, P. Sith Non Ordinary Differential Equations, Fourth Edition, Oxford University Press, Noralized frequency (b) HB Fig. 5: Oscillator siulations. are special techniques [], [9], [] to deal with all these probles occuring when dealing with autonoous probles. Essentially, the frequencies have to be added to the unknowns and additional equations have to be put in place to solve for the.

The Harmonic Balance Method

The Harmonic Balance Method For Nonlinear Microwave Circuits Hans-Dieter Lang, Xingqi Zhang Thursday, April 25, 2013 ECE 1254 Modeling of Multiphysics Systems Course Project Presentation University of Toronto Contents Balancing the

More information

EE5900 Spring Lecture 4 IC interconnect modeling methods Zhuo Feng

EE5900 Spring Lecture 4 IC interconnect modeling methods Zhuo Feng EE59 Spring Parallel LSI AD Algoriths Lecture I interconnect odeling ethods Zhuo Feng. Z. Feng MTU EE59 So far we ve considered only tie doain analyses We ll soon see that it is soeties preferable to odel

More information

Using a De-Convolution Window for Operating Modal Analysis

Using a De-Convolution Window for Operating Modal Analysis Using a De-Convolution Window for Operating Modal Analysis Brian Schwarz Vibrant Technology, Inc. Scotts Valley, CA Mark Richardson Vibrant Technology, Inc. Scotts Valley, CA Abstract Operating Modal Analysis

More information

Mutual capacitor and its applications

Mutual capacitor and its applications Mutual capacitor and its applications Chun Li, Jason Li, Jieing Li CALSON Technologies, Toronto, Canada E-ail: calandli@yahoo.ca Published in The Journal of Engineering; Received on 27th October 2013;

More information

PH 222-2C Fall Electromagnetic Oscillations and Alternating Current. Lectures 18-19

PH 222-2C Fall Electromagnetic Oscillations and Alternating Current. Lectures 18-19 H - Fall 0 Electroagnetic Oscillations and Alternating urrent ectures 8-9 hapter 3 (Halliday/esnick/Walker, Fundaentals of hysics 8 th edition) hapter 3 Electroagnetic Oscillations and Alternating urrent

More information

Ph 20.3 Numerical Solution of Ordinary Differential Equations

Ph 20.3 Numerical Solution of Ordinary Differential Equations Ph 20.3 Nuerical Solution of Ordinary Differential Equations Due: Week 5 -v20170314- This Assignent So far, your assignents have tried to failiarize you with the hardware and software in the Physics Coputing

More information

Data-Driven Imaging in Anisotropic Media

Data-Driven Imaging in Anisotropic Media 18 th World Conference on Non destructive Testing, 16- April 1, Durban, South Africa Data-Driven Iaging in Anisotropic Media Arno VOLKER 1 and Alan HUNTER 1 TNO Stieltjesweg 1, 6 AD, Delft, The Netherlands

More information

Fourier Series Summary (From Salivahanan et al, 2002)

Fourier Series Summary (From Salivahanan et al, 2002) Fourier Series Suary (Fro Salivahanan et al, ) A periodic continuous signal f(t), - < t

More information

Support Vector Machine Classification of Uncertain and Imbalanced data using Robust Optimization

Support Vector Machine Classification of Uncertain and Imbalanced data using Robust Optimization Recent Researches in Coputer Science Support Vector Machine Classification of Uncertain and Ibalanced data using Robust Optiization RAGHAV PAT, THEODORE B. TRAFALIS, KASH BARKER School of Industrial Engineering

More information

NUMERICAL MODELLING OF THE TYRE/ROAD CONTACT

NUMERICAL MODELLING OF THE TYRE/ROAD CONTACT NUMERICAL MODELLING OF THE TYRE/ROAD CONTACT PACS REFERENCE: 43.5.LJ Krister Larsson Departent of Applied Acoustics Chalers University of Technology SE-412 96 Sweden Tel: +46 ()31 772 22 Fax: +46 ()31

More information

Feature Extraction Techniques

Feature Extraction Techniques Feature Extraction Techniques Unsupervised Learning II Feature Extraction Unsupervised ethods can also be used to find features which can be useful for categorization. There are unsupervised ethods that

More information

2 Q 10. Likewise, in case of multiple particles, the corresponding density in 2 must be averaged over all

2 Q 10. Likewise, in case of multiple particles, the corresponding density in 2 must be averaged over all Lecture 6 Introduction to kinetic theory of plasa waves Introduction to kinetic theory So far we have been odeling plasa dynaics using fluid equations. The assuption has been that the pressure can be either

More information

Chapter 10: Sinusoidal Steady-State Analysis

Chapter 10: Sinusoidal Steady-State Analysis Chapter 0: Sinusoidal Steady-State Analysis Sinusoidal Sources If a circuit is driven by a sinusoidal source, after 5 tie constants, the circuit reaches a steady-state (reeber the RC lab with t = τ). Consequently,

More information

Chapter 1: Basics of Vibrations for Simple Mechanical Systems

Chapter 1: Basics of Vibrations for Simple Mechanical Systems Chapter 1: Basics of Vibrations for Siple Mechanical Systes Introduction: The fundaentals of Sound and Vibrations are part of the broader field of echanics, with strong connections to classical echanics,

More information

Chapter 6 1-D Continuous Groups

Chapter 6 1-D Continuous Groups Chapter 6 1-D Continuous Groups Continuous groups consist of group eleents labelled by one or ore continuous variables, say a 1, a 2,, a r, where each variable has a well- defined range. This chapter explores:

More information

About the definition of parameters and regimes of active two-port networks with variable loads on the basis of projective geometry

About the definition of parameters and regimes of active two-port networks with variable loads on the basis of projective geometry About the definition of paraeters and regies of active two-port networks with variable loads on the basis of projective geoetry PENN ALEXANDR nstitute of Electronic Engineering and Nanotechnologies "D

More information

Lecture #8-3 Oscillations, Simple Harmonic Motion

Lecture #8-3 Oscillations, Simple Harmonic Motion Lecture #8-3 Oscillations Siple Haronic Motion So far we have considered two basic types of otion: translation and rotation. But these are not the only two types of otion we can observe in every day life.

More information

Ch 12: Variations on Backpropagation

Ch 12: Variations on Backpropagation Ch 2: Variations on Backpropagation The basic backpropagation algorith is too slow for ost practical applications. It ay take days or weeks of coputer tie. We deonstrate why the backpropagation algorith

More information

ma x = -bv x + F rod.

ma x = -bv x + F rod. Notes on Dynaical Systes Dynaics is the study of change. The priary ingredients of a dynaical syste are its state and its rule of change (also soeties called the dynaic). Dynaical systes can be continuous

More information

Q ESTIMATION WITHIN A FORMATION PROGRAM q_estimation

Q ESTIMATION WITHIN A FORMATION PROGRAM q_estimation Foration Attributes Progra q_estiation Q ESTIMATION WITHIN A FOMATION POGAM q_estiation Estiating Q between stratal slices Progra q_estiation estiate seisic attenuation (1/Q) on coplex stratal slices using

More information

Pattern Recognition and Machine Learning. Artificial Neural networks

Pattern Recognition and Machine Learning. Artificial Neural networks Pattern Recognition and Machine Learning Jaes L. Crowley ENSIMAG 3 - MMIS Fall Seester 2016 Lessons 7 14 Dec 2016 Outline Artificial Neural networks Notation...2 1. Introduction...3... 3 The Artificial

More information

Statistical Logic Cell Delay Analysis Using a Current-based Model

Statistical Logic Cell Delay Analysis Using a Current-based Model Statistical Logic Cell Delay Analysis Using a Current-based Model Hanif Fatei Shahin Nazarian Massoud Pedra Dept. of EE-Systes, University of Southern California, Los Angeles, CA 90089 {fatei, shahin,

More information

Solving initial value problems by residual power series method

Solving initial value problems by residual power series method Theoretical Matheatics & Applications, vol.3, no.1, 13, 199-1 ISSN: 179-9687 (print), 179-979 (online) Scienpress Ltd, 13 Solving initial value probles by residual power series ethod Mohaed H. Al-Sadi

More information

Chapter 2. Small-Signal Model Parameter Extraction Method

Chapter 2. Small-Signal Model Parameter Extraction Method Chapter Sall-Signal Model Paraeter Extraction Method In this chapter, we introduce a new paraeter extraction technique for sall-signal HBT odeling. Figure - shows the sall-signal equivalent circuit of

More information

Figure 1: Equivalent electric (RC) circuit of a neurons membrane

Figure 1: Equivalent electric (RC) circuit of a neurons membrane Exercise: Leaky integrate and fire odel of neural spike generation This exercise investigates a siplified odel of how neurons spike in response to current inputs, one of the ost fundaental properties of

More information

Force and dynamics with a spring, analytic approach

Force and dynamics with a spring, analytic approach Force and dynaics with a spring, analytic approach It ay strie you as strange that the first force we will discuss will be that of a spring. It is not one of the four Universal forces and we don t use

More information

Reducing Vibration and Providing Robustness with Multi-Input Shapers

Reducing Vibration and Providing Robustness with Multi-Input Shapers 29 Aerican Control Conference Hyatt Regency Riverfront, St. Louis, MO, USA June -2, 29 WeA6.4 Reducing Vibration and Providing Robustness with Multi-Input Shapers Joshua Vaughan and Willia Singhose Abstract

More information

ESTIMATING AND FORMING CONFIDENCE INTERVALS FOR EXTREMA OF RANDOM POLYNOMIALS. A Thesis. Presented to. The Faculty of the Department of Mathematics

ESTIMATING AND FORMING CONFIDENCE INTERVALS FOR EXTREMA OF RANDOM POLYNOMIALS. A Thesis. Presented to. The Faculty of the Department of Mathematics ESTIMATING AND FORMING CONFIDENCE INTERVALS FOR EXTREMA OF RANDOM POLYNOMIALS A Thesis Presented to The Faculty of the Departent of Matheatics San Jose State University In Partial Fulfillent of the Requireents

More information

Polygonal Designs: Existence and Construction

Polygonal Designs: Existence and Construction Polygonal Designs: Existence and Construction John Hegean Departent of Matheatics, Stanford University, Stanford, CA 9405 Jeff Langford Departent of Matheatics, Drake University, Des Moines, IA 5011 G

More information

Multi-Scale/Multi-Resolution: Wavelet Transform

Multi-Scale/Multi-Resolution: Wavelet Transform Multi-Scale/Multi-Resolution: Wavelet Transfor Proble with Fourier Fourier analysis -- breaks down a signal into constituent sinusoids of different frequencies. A serious drawback in transforing to the

More information

Block designs and statistics

Block designs and statistics Bloc designs and statistics Notes for Math 447 May 3, 2011 The ain paraeters of a bloc design are nuber of varieties v, bloc size, nuber of blocs b. A design is built on a set of v eleents. Each eleent

More information

COS 424: Interacting with Data. Written Exercises

COS 424: Interacting with Data. Written Exercises COS 424: Interacting with Data Hoework #4 Spring 2007 Regression Due: Wednesday, April 18 Written Exercises See the course website for iportant inforation about collaboration and late policies, as well

More information

Comparison of Stability of Selected Numerical Methods for Solving Stiff Semi- Linear Differential Equations

Comparison of Stability of Selected Numerical Methods for Solving Stiff Semi- Linear Differential Equations International Journal of Applied Science and Technology Vol. 7, No. 3, Septeber 217 Coparison of Stability of Selected Nuerical Methods for Solving Stiff Sei- Linear Differential Equations Kwaku Darkwah

More information

Optical Properties of Plasmas of High-Z Elements

Optical Properties of Plasmas of High-Z Elements Forschungszentru Karlsruhe Techni und Uwelt Wissenschaftlishe Berichte FZK Optical Properties of Plasas of High-Z Eleents V.Tolach 1, G.Miloshevsy 1, H.Würz Project Kernfusion 1 Heat and Mass Transfer

More information

A method to determine relative stroke detection efficiencies from multiplicity distributions

A method to determine relative stroke detection efficiencies from multiplicity distributions A ethod to deterine relative stroke detection eiciencies ro ultiplicity distributions Schulz W. and Cuins K. 2. Austrian Lightning Detection and Inoration Syste (ALDIS), Kahlenberger Str.2A, 90 Vienna,

More information

Chaotic Coupled Map Lattices

Chaotic Coupled Map Lattices Chaotic Coupled Map Lattices Author: Dustin Keys Advisors: Dr. Robert Indik, Dr. Kevin Lin 1 Introduction When a syste of chaotic aps is coupled in a way that allows the to share inforation about each

More information

A New Algorithm for Reactive Electric Power Measurement

A New Algorithm for Reactive Electric Power Measurement A. Abiyev, GAU J. Soc. & Appl. Sci., 2(4), 7-25, 27 A ew Algorith for Reactive Electric Power Measureent Adalet Abiyev Girne Aerican University, Departernt of Electrical Electronics Engineering, Mersin,

More information

A note on the multiplication of sparse matrices

A note on the multiplication of sparse matrices Cent. Eur. J. Cop. Sci. 41) 2014 1-11 DOI: 10.2478/s13537-014-0201-x Central European Journal of Coputer Science A note on the ultiplication of sparse atrices Research Article Keivan Borna 12, Sohrab Aboozarkhani

More information

Chapter 10: Sinusoidal Steady-State Analysis

Chapter 10: Sinusoidal Steady-State Analysis Chapter 0: Sinusoidal Steady-State Analysis Sinusoidal Sources If a circuit is driven by a sinusoidal source, after 5 tie constants, the circuit reaches a steady-state (reeber the RC lab with t τ). Consequently,

More information

The Wilson Model of Cortical Neurons Richard B. Wells

The Wilson Model of Cortical Neurons Richard B. Wells The Wilson Model of Cortical Neurons Richard B. Wells I. Refineents on the odgkin-uxley Model The years since odgkin s and uxley s pioneering work have produced a nuber of derivative odgkin-uxley-like

More information

Analysis of Impulsive Natural Phenomena through Finite Difference Methods A MATLAB Computational Project-Based Learning

Analysis of Impulsive Natural Phenomena through Finite Difference Methods A MATLAB Computational Project-Based Learning Analysis of Ipulsive Natural Phenoena through Finite Difference Methods A MATLAB Coputational Project-Based Learning Nicholas Kuia, Christopher Chariah, Mechatronics Engineering, Vaughn College of Aeronautics

More information

Fast Montgomery-like Square Root Computation over GF(2 m ) for All Trinomials

Fast Montgomery-like Square Root Computation over GF(2 m ) for All Trinomials Fast Montgoery-like Square Root Coputation over GF( ) for All Trinoials Yin Li a, Yu Zhang a, a Departent of Coputer Science and Technology, Xinyang Noral University, Henan, P.R.China Abstract This letter

More information

Design of Sliding Mode Stabilizer for Wind Turbine Generator using Dynamic Compensation Observer Technique

Design of Sliding Mode Stabilizer for Wind Turbine Generator using Dynamic Compensation Observer Technique Proceedings of the 6th WSES International Conference on Power Systes, Lisbon, Portugal, Septeber -4, 6 84 Design of Sliding Mode Stabilizer for Wind urbine Generator using Dynaic Copensation Observer echnique

More information

A Simple Regression Problem

A Simple Regression Problem A Siple Regression Proble R. M. Castro March 23, 2 In this brief note a siple regression proble will be introduced, illustrating clearly the bias-variance tradeoff. Let Y i f(x i ) + W i, i,..., n, where

More information

Chapter 10 Objectives

Chapter 10 Objectives Chapter 10 Engr8 Circuit Analysis Dr Curtis Nelson Chapter 10 Objectives Understand the following AC power concepts: Instantaneous power; Average power; Root Mean Squared (RMS) value; Reactive power; Coplex

More information

DESIGN OF MECHANICAL SYSTEMS HAVING MAXIMALLY FLAT RESPONSE AT LOW FREQUENCIES

DESIGN OF MECHANICAL SYSTEMS HAVING MAXIMALLY FLAT RESPONSE AT LOW FREQUENCIES DESIGN OF MECHANICAL SYSTEMS HAVING MAXIMALLY FLAT RESPONSE AT LOW FREQUENCIES V.Raachran, Ravi P.Raachran C.S.Gargour Departent of Electrical Coputer Engineering, Concordia University, Montreal, QC, CANADA,

More information

Analyzing Simulation Results

Analyzing Simulation Results Analyzing Siulation Results Dr. John Mellor-Cruey Departent of Coputer Science Rice University johnc@cs.rice.edu COMP 528 Lecture 20 31 March 2005 Topics for Today Model verification Model validation Transient

More information

Intelligent Systems: Reasoning and Recognition. Artificial Neural Networks

Intelligent Systems: Reasoning and Recognition. Artificial Neural Networks Intelligent Systes: Reasoning and Recognition Jaes L. Crowley MOSIG M1 Winter Seester 2018 Lesson 7 1 March 2018 Outline Artificial Neural Networks Notation...2 Introduction...3 Key Equations... 3 Artificial

More information

Pattern Recognition and Machine Learning. Artificial Neural networks

Pattern Recognition and Machine Learning. Artificial Neural networks Pattern Recognition and Machine Learning Jaes L. Crowley ENSIMAG 3 - MMIS Fall Seester 2017 Lessons 7 20 Dec 2017 Outline Artificial Neural networks Notation...2 Introduction...3 Key Equations... 3 Artificial

More information

A Simplified Analytical Approach for Efficiency Evaluation of the Weaving Machines with Automatic Filling Repair

A Simplified Analytical Approach for Efficiency Evaluation of the Weaving Machines with Automatic Filling Repair Proceedings of the 6th SEAS International Conference on Siulation, Modelling and Optiization, Lisbon, Portugal, Septeber -4, 006 0 A Siplified Analytical Approach for Efficiency Evaluation of the eaving

More information

ON THE TWO-LEVEL PRECONDITIONING IN LEAST SQUARES METHOD

ON THE TWO-LEVEL PRECONDITIONING IN LEAST SQUARES METHOD PROCEEDINGS OF THE YEREVAN STATE UNIVERSITY Physical and Matheatical Sciences 04,, p. 7 5 ON THE TWO-LEVEL PRECONDITIONING IN LEAST SQUARES METHOD M a t h e a t i c s Yu. A. HAKOPIAN, R. Z. HOVHANNISYAN

More information

ACTIVE VIBRATION CONTROL FOR STRUCTURE HAVING NON- LINEAR BEHAVIOR UNDER EARTHQUAKE EXCITATION

ACTIVE VIBRATION CONTROL FOR STRUCTURE HAVING NON- LINEAR BEHAVIOR UNDER EARTHQUAKE EXCITATION International onference on Earthquae Engineering and Disaster itigation, Jaarta, April 14-15, 8 ATIVE VIBRATION ONTROL FOR TRUTURE HAVING NON- LINEAR BEHAVIOR UNDER EARTHQUAE EXITATION Herlien D. etio

More information

SEISMIC FRAGILITY ANALYSIS

SEISMIC FRAGILITY ANALYSIS 9 th ASCE Specialty Conference on Probabilistic Mechanics and Structural Reliability PMC24 SEISMIC FRAGILITY ANALYSIS C. Kafali, Student M. ASCE Cornell University, Ithaca, NY 483 ck22@cornell.edu M. Grigoriu,

More information

Kernel Methods and Support Vector Machines

Kernel Methods and Support Vector Machines Intelligent Systes: Reasoning and Recognition Jaes L. Crowley ENSIAG 2 / osig 1 Second Seester 2012/2013 Lesson 20 2 ay 2013 Kernel ethods and Support Vector achines Contents Kernel Functions...2 Quadratic

More information

DIRECT TORQUE CONTROL OF INDUCTION MACHINES CONSIDERING THE IRON LOSSES

DIRECT TORQUE CONTROL OF INDUCTION MACHINES CONSIDERING THE IRON LOSSES DIRECT TORQUE CONTROL OF INDUCTION MACHINES CONSIDERING THE IRON LOSSES TRUC PHAM-DINH A thesis subitted in partial fulfilent of the requireents of Liverpool John Moores University for the degree of Doctor

More information

Physics 2107 Oscillations using Springs Experiment 2

Physics 2107 Oscillations using Springs Experiment 2 PY07 Oscillations using Springs Experient Physics 07 Oscillations using Springs Experient Prelab Read the following bacground/setup and ensure you are failiar with the concepts and theory required for

More information

Analysis of ground vibration transmission in high precision equipment by Frequency Based Substructuring

Analysis of ground vibration transmission in high precision equipment by Frequency Based Substructuring Analysis of ground vibration transission in high precision equipent by Frequency Based Substructuring G. van Schothorst 1, M.A. Boogaard 2, G.W. van der Poel 1, D.J. Rixen 2 1 Philips Innovation Services,

More information

General Properties of Radiation Detectors Supplements

General Properties of Radiation Detectors Supplements Phys. 649: Nuclear Techniques Physics Departent Yarouk University Chapter 4: General Properties of Radiation Detectors Suppleents Dr. Nidal M. Ershaidat Overview Phys. 649: Nuclear Techniques Physics Departent

More information

Physically Based Modeling CS Notes Spring 1997 Particle Collision and Contact

Physically Based Modeling CS Notes Spring 1997 Particle Collision and Contact Physically Based Modeling CS 15-863 Notes Spring 1997 Particle Collision and Contact 1 Collisions with Springs Suppose we wanted to ipleent a particle siulator with a floor : a solid horizontal plane which

More information

Waves & Normal Modes. Matt Jarvis

Waves & Normal Modes. Matt Jarvis Waves & Noral Modes Matt Jarvis January 19, 016 Contents 1 Oscillations 1.0.1 Siple Haronic Motion - revision................... Noral Modes 5.1 The coupled pendulu.............................. 6.1.1

More information

Seismic Analysis of Structures by TK Dutta, Civil Department, IIT Delhi, New Delhi.

Seismic Analysis of Structures by TK Dutta, Civil Department, IIT Delhi, New Delhi. Seisic Analysis of Structures by K Dutta, Civil Departent, II Delhi, New Delhi. Module 5: Response Spectru Method of Analysis Exercise Probles : 5.8. or the stick odel of a building shear frae shown in

More information

Intelligent Systems: Reasoning and Recognition. Perceptrons and Support Vector Machines

Intelligent Systems: Reasoning and Recognition. Perceptrons and Support Vector Machines Intelligent Systes: Reasoning and Recognition Jaes L. Crowley osig 1 Winter Seester 2018 Lesson 6 27 February 2018 Outline Perceptrons and Support Vector achines Notation...2 Linear odels...3 Lines, Planes

More information

Extension of CSRSM for the Parametric Study of the Face Stability of Pressurized Tunnels

Extension of CSRSM for the Parametric Study of the Face Stability of Pressurized Tunnels Extension of CSRSM for the Paraetric Study of the Face Stability of Pressurized Tunnels Guilhe Mollon 1, Daniel Dias 2, and Abdul-Haid Soubra 3, M.ASCE 1 LGCIE, INSA Lyon, Université de Lyon, Doaine scientifique

More information

Automated Frequency Domain Decomposition for Operational Modal Analysis

Automated Frequency Domain Decomposition for Operational Modal Analysis Autoated Frequency Doain Decoposition for Operational Modal Analysis Rune Brincker Departent of Civil Engineering, University of Aalborg, Sohngaardsholsvej 57, DK-9000 Aalborg, Denark Palle Andersen Structural

More information

Determination of Relaxation and Retardation Spectrum from Modulus of Complex Frequency-Domain Material functions

Determination of Relaxation and Retardation Spectrum from Modulus of Complex Frequency-Domain Material functions Deterination of Relaxation and Retardation Spectru fro Modulus of Coplex Frequency-Doain Material functions VAIRIS SHTRAUSS, ALDIS KALPINSH Institute of Polyer Mechanics University of Latvia 3 Aizkraukles

More information

NBN Algorithm Introduction Computational Fundamentals. Bogdan M. Wilamoswki Auburn University. Hao Yu Auburn University

NBN Algorithm Introduction Computational Fundamentals. Bogdan M. Wilamoswki Auburn University. Hao Yu Auburn University NBN Algorith Bogdan M. Wilaoswki Auburn University Hao Yu Auburn University Nicholas Cotton Auburn University. Introduction. -. Coputational Fundaentals - Definition of Basic Concepts in Neural Network

More information

PERIODIC STEADY STATE ANALYSIS, EFFECTIVE VALUE,

PERIODIC STEADY STATE ANALYSIS, EFFECTIVE VALUE, PERIODIC SEADY SAE ANALYSIS, EFFECIVE VALUE, DISORSION FACOR, POWER OF PERIODIC CURRENS t + Effective value of current (general definition) IRMS i () t dt Root Mean Square, in Czech boo denoted I he value

More information

ANALYSIS ON RESPONSE OF DYNAMIC SYSTEMS TO PULSE SEQUENCES EXCITATION

ANALYSIS ON RESPONSE OF DYNAMIC SYSTEMS TO PULSE SEQUENCES EXCITATION The 4 th World Conference on Earthquake Engineering October -7, 8, Beijing, China ANALYSIS ON RESPONSE OF DYNAMIC SYSTEMS TO PULSE SEQUENCES EXCITATION S. Li C.H. Zhai L.L. Xie Ph. D. Student, School of

More information

DETECTION OF NONLINEARITY IN VIBRATIONAL SYSTEMS USING THE SECOND TIME DERIVATIVE OF ABSOLUTE ACCELERATION

DETECTION OF NONLINEARITY IN VIBRATIONAL SYSTEMS USING THE SECOND TIME DERIVATIVE OF ABSOLUTE ACCELERATION DETECTION OF NONLINEARITY IN VIBRATIONAL SYSTEMS USING THE SECOND TIME DERIVATIVE OF ABSOLUTE ACCELERATION Masaki WAKUI 1 and Jun IYAMA and Tsuyoshi KOYAMA 3 ABSTRACT This paper shows a criteria to detect

More information

IN modern society that various systems have become more

IN modern society that various systems have become more Developent of Reliability Function in -Coponent Standby Redundant Syste with Priority Based on Maxiu Entropy Principle Ryosuke Hirata, Ikuo Arizono, Ryosuke Toohiro, Satoshi Oigawa, and Yasuhiko Takeoto

More information

Design of Spatially Coupled LDPC Codes over GF(q) for Windowed Decoding

Design of Spatially Coupled LDPC Codes over GF(q) for Windowed Decoding IEEE TRANSACTIONS ON INFORMATION THEORY (SUBMITTED PAPER) 1 Design of Spatially Coupled LDPC Codes over GF(q) for Windowed Decoding Lai Wei, Student Meber, IEEE, David G. M. Mitchell, Meber, IEEE, Thoas

More information

On the approximation of Feynman-Kac path integrals

On the approximation of Feynman-Kac path integrals On the approxiation of Feynan-Kac path integrals Stephen D. Bond, Brian B. Laird, and Benedict J. Leikuhler University of California, San Diego, Departents of Matheatics and Cheistry, La Jolla, CA 993,

More information

A remark on a success rate model for DPA and CPA

A remark on a success rate model for DPA and CPA A reark on a success rate odel for DPA and CPA A. Wieers, BSI Version 0.5 andreas.wieers@bsi.bund.de Septeber 5, 2018 Abstract The success rate is the ost coon evaluation etric for easuring the perforance

More information

The linear sampling method and the MUSIC algorithm

The linear sampling method and the MUSIC algorithm INSTITUTE OF PHYSICS PUBLISHING INVERSE PROBLEMS Inverse Probles 17 (2001) 591 595 www.iop.org/journals/ip PII: S0266-5611(01)16989-3 The linear sapling ethod and the MUSIC algorith Margaret Cheney Departent

More information

Simulation and Analysis of Electromagnetic Transient Characteristics of Controllable Reactor of Transformer Type

Simulation and Analysis of Electromagnetic Transient Characteristics of Controllable Reactor of Transformer Type Siulation and Analysis of Electroagnetic Transient Characteristics of Controllable eactor of Transforer Type TIAN MINGXING, ZHAO QIANU, YIN JIANNING, LIU YIBIN Autoation and Electrical Engineering Lanzhou

More information

Topic 5a Introduction to Curve Fitting & Linear Regression

Topic 5a Introduction to Curve Fitting & Linear Regression /7/08 Course Instructor Dr. Rayond C. Rup Oice: A 337 Phone: (95) 747 6958 E ail: rcrup@utep.edu opic 5a Introduction to Curve Fitting & Linear Regression EE 4386/530 Coputational ethods in EE Outline

More information

Interactive Markov Models of Evolutionary Algorithms

Interactive Markov Models of Evolutionary Algorithms Cleveland State University EngagedScholarship@CSU Electrical Engineering & Coputer Science Faculty Publications Electrical Engineering & Coputer Science Departent 2015 Interactive Markov Models of Evolutionary

More information

Convexity-Based Optimization for Power-Delay Tradeoff using Transistor Sizing

Convexity-Based Optimization for Power-Delay Tradeoff using Transistor Sizing Convexity-Based Optiization for Power-Delay Tradeoff using Transistor Sizing Mahesh Ketkar, and Sachin S. Sapatnekar Departent of Electrical and Coputer Engineering University of Minnesota, Minneapolis,

More information

In this chapter, we consider several graph-theoretic and probabilistic models

In this chapter, we consider several graph-theoretic and probabilistic models THREE ONE GRAPH-THEORETIC AND STATISTICAL MODELS 3.1 INTRODUCTION In this chapter, we consider several graph-theoretic and probabilistic odels for a social network, which we do under different assuptions

More information

13.2 Fully Polynomial Randomized Approximation Scheme for Permanent of Random 0-1 Matrices

13.2 Fully Polynomial Randomized Approximation Scheme for Permanent of Random 0-1 Matrices CS71 Randoness & Coputation Spring 018 Instructor: Alistair Sinclair Lecture 13: February 7 Disclaier: These notes have not been subjected to the usual scrutiny accorded to foral publications. They ay

More information

CHAPTER 19: Single-Loop IMC Control

CHAPTER 19: Single-Loop IMC Control When I coplete this chapter, I want to be able to do the following. Recognize that other feedback algoriths are possible Understand the IMC structure and how it provides the essential control features

More information

Proc. of the IEEE/OES Seventh Working Conference on Current Measurement Technology UNCERTAINTIES IN SEASONDE CURRENT VELOCITIES

Proc. of the IEEE/OES Seventh Working Conference on Current Measurement Technology UNCERTAINTIES IN SEASONDE CURRENT VELOCITIES Proc. of the IEEE/OES Seventh Working Conference on Current Measureent Technology UNCERTAINTIES IN SEASONDE CURRENT VELOCITIES Belinda Lipa Codar Ocean Sensors 15 La Sandra Way, Portola Valley, CA 98 blipa@pogo.co

More information

paper prepared for the 1996 PTRC Conference, September 2-6, Brunel University, UK ON THE CALIBRATION OF THE GRAVITY MODEL

paper prepared for the 1996 PTRC Conference, September 2-6, Brunel University, UK ON THE CALIBRATION OF THE GRAVITY MODEL paper prepared for the 1996 PTRC Conference, Septeber 2-6, Brunel University, UK ON THE CALIBRATION OF THE GRAVITY MODEL Nanne J. van der Zijpp 1 Transportation and Traffic Engineering Section Delft University

More information

Chapter 10 ACSS Power

Chapter 10 ACSS Power Objectives: Power concepts: instantaneous power, average power, reactive power, coplex power, power factor Relationships aong power concepts the power triangle Balancing power in AC circuits Condition

More information

REDUCTION OF FINITE ELEMENT MODELS BY PARAMETER IDENTIFICATION

REDUCTION OF FINITE ELEMENT MODELS BY PARAMETER IDENTIFICATION ISSN 139 14X INFORMATION TECHNOLOGY AND CONTROL, 008, Vol.37, No.3 REDUCTION OF FINITE ELEMENT MODELS BY PARAMETER IDENTIFICATION Riantas Barauskas, Vidantas Riavičius Departent of Syste Analysis, Kaunas

More information

N-Point. DFTs of Two Length-N Real Sequences

N-Point. DFTs of Two Length-N Real Sequences Coputation of the DFT of In ost practical applications, sequences of interest are real In such cases, the syetry properties of the DFT given in Table 5. can be exploited to ake the DFT coputations ore

More information

Lecture 9 November 23, 2015

Lecture 9 November 23, 2015 CSC244: Discrepancy Theory in Coputer Science Fall 25 Aleksandar Nikolov Lecture 9 Noveber 23, 25 Scribe: Nick Spooner Properties of γ 2 Recall that γ 2 (A) is defined for A R n as follows: γ 2 (A) = in{r(u)

More information

This model assumes that the probability of a gap has size i is proportional to 1/i. i.e., i log m e. j=1. E[gap size] = i P r(i) = N f t.

This model assumes that the probability of a gap has size i is proportional to 1/i. i.e., i log m e. j=1. E[gap size] = i P r(i) = N f t. CS 493: Algoriths for Massive Data Sets Feb 2, 2002 Local Models, Bloo Filter Scribe: Qin Lv Local Models In global odels, every inverted file entry is copressed with the sae odel. This work wells when

More information

e-companion ONLY AVAILABLE IN ELECTRONIC FORM

e-companion ONLY AVAILABLE IN ELECTRONIC FORM OPERATIONS RESEARCH doi 10.1287/opre.1070.0427ec pp. ec1 ec5 e-copanion ONLY AVAILABLE IN ELECTRONIC FORM infors 07 INFORMS Electronic Copanion A Learning Approach for Interactive Marketing to a Custoer

More information

A VARIABLE STEP-SIZE FREQUENCY-DOMAIN ADAPTIVE FILTERING ALGORITHM FOR STEREOPHONIC ACOUSTIC ECHO CANCELLATION

A VARIABLE STEP-SIZE FREQUENCY-DOMAIN ADAPTIVE FILTERING ALGORITHM FOR STEREOPHONIC ACOUSTIC ECHO CANCELLATION 18th European Signal Processing Conference EUSIPCO-2010 Aalborg, Denark, August 23-27, 2010 A VARIABLE STEP-SIZE FREQUENCY-DOMAIN ADAPTIVE FILTERING ALGORITHM FOR STEREOPHONIC ACOUSTIC ECHO CANCELLATION

More information

Symbolic Analysis as Universal Tool for Deriving Properties of Non-linear Algorithms Case study of EM Algorithm

Symbolic Analysis as Universal Tool for Deriving Properties of Non-linear Algorithms Case study of EM Algorithm Acta Polytechnica Hungarica Vol., No., 04 Sybolic Analysis as Universal Tool for Deriving Properties of Non-linear Algoriths Case study of EM Algorith Vladiir Mladenović, Miroslav Lutovac, Dana Porrat

More information

Advanced Computational Methods for VLSI Systems. Lecture 4 RF Circuit Simulation Methods. Zhuo Feng

Advanced Computational Methods for VLSI Systems. Lecture 4 RF Circuit Simulation Methods. Zhuo Feng Advanced Computational Methods for VLSI Systems Lecture 4 RF Circuit Simulation Methods Zhuo Feng 6. Z. Feng MTU EE59 Neither ac analysis nor pole / zero analysis allow nonlinearities Harmonic balance

More information

COULD A VARIABLE MASS OSCILLATOR EXHIBIT THE LATERAL INSTABILITY?

COULD A VARIABLE MASS OSCILLATOR EXHIBIT THE LATERAL INSTABILITY? Kragujevac J. Sci. 3 (8) 3-44. UDC 53.35 3 COULD A VARIABLE MASS OSCILLATOR EXHIBIT THE LATERAL INSTABILITY? Nebojša Danilović, Milan Kovačević and Vukota Babović Institute of Physics, Faculty of Science,

More information

Deflation of the I-O Series Some Technical Aspects. Giorgio Rampa University of Genoa April 2007

Deflation of the I-O Series Some Technical Aspects. Giorgio Rampa University of Genoa April 2007 Deflation of the I-O Series 1959-2. Soe Technical Aspects Giorgio Rapa University of Genoa g.rapa@unige.it April 27 1. Introduction The nuber of sectors is 42 for the period 1965-2 and 38 for the initial

More information

EQUIVALENT CIRCUIT MODEL OF SEMICONDUCTOR LASERS TAKING ACCOUNT OF GAIN SUPPRESSION

EQUIVALENT CIRCUIT MODEL OF SEMICONDUCTOR LASERS TAKING ACCOUNT OF GAIN SUPPRESSION EQUIVALENT CIRCUIT MODEL OF SEMICONDUCTOR LASERS TAKING ACCOUNT OF GAIN SUPPRESSION Kaiz Aedi and Mohsen Khanzadeh Departent of Electrical Engineering, Faculty of Electrical and Coputer Engineering, Shahid

More information

Dynamic analysis of frames with viscoelastic dampers: a comparison of damper models

Dynamic analysis of frames with viscoelastic dampers: a comparison of damper models Structural Engineering and Mechanics, Vol. 41, No. 1 (2012) 113-137 113 Dynaic analysis of fraes with viscoelastic dapers: a coparison of daper odels R. Lewandowski*, A. Bartkowiak a and H. Maciejewski

More information

Numerical Studies of a Nonlinear Heat Equation with Square Root Reaction Term

Numerical Studies of a Nonlinear Heat Equation with Square Root Reaction Term Nuerical Studies of a Nonlinear Heat Equation with Square Root Reaction Ter Ron Bucire, 1 Karl McMurtry, 1 Ronald E. Micens 2 1 Matheatics Departent, Occidental College, Los Angeles, California 90041 2

More information

Use of PSO in Parameter Estimation of Robot Dynamics; Part One: No Need for Parameterization

Use of PSO in Parameter Estimation of Robot Dynamics; Part One: No Need for Parameterization Use of PSO in Paraeter Estiation of Robot Dynaics; Part One: No Need for Paraeterization Hossein Jahandideh, Mehrzad Navar Abstract Offline procedures for estiating paraeters of robot dynaics are practically

More information

RESTARTED FULL ORTHOGONALIZATION METHOD FOR SHIFTED LINEAR SYSTEMS

RESTARTED FULL ORTHOGONALIZATION METHOD FOR SHIFTED LINEAR SYSTEMS BIT Nuerical Matheatics 43: 459 466, 2003. 2003 Kluwer Acadeic Publishers. Printed in The Netherlands 459 RESTARTED FULL ORTHOGONALIZATION METHOD FOR SHIFTED LINEAR SYSTEMS V. SIMONCINI Dipartiento di

More information

AVOIDING PITFALLS IN MEASUREMENT UNCERTAINTY ANALYSIS

AVOIDING PITFALLS IN MEASUREMENT UNCERTAINTY ANALYSIS VOIDING ITFLLS IN ESREENT NERTINTY NLYSIS Benny R. Sith Inchwor Solutions Santa Rosa, Suary: itfalls, both subtle and obvious, await the new or casual practitioner of easureent uncertainty analysis. This

More information