On Chaotic Behavior of a Class of Linear Systems with Memristive Feedback Control
|
|
- Julia Francis
- 5 years ago
- Views:
Transcription
1 Proceedings of the th WSEAS International Conference on SYSTEMS On Chaotic Behavior of a Class of Linear Systems with Memristive Feedback Control JOSEF HRUSAK, MILAN STORK, DANIEL MAYER Department of Applied Electronics and Telecommunications Theory of Electrical Engineering University of West Bohemia P.O. Box 4, 064 Plzen Czech Republic hrusak@kae.zcu.cz, stork@kae.zcu.cz, mayer@kte.zcu.cz Abstract: - The contribution is concerned on structural properties and general features of the new ideal circuit element, a memristor. By definition, a memristor relates the charge q and the magnetic flux φ in a circuit, and complements a resistor R, a capacitor C, and an inductor L as an ingredient of ideal electrical circuits. The definition of the memristor is based solely on fundamental circuit variables, similar to the resistor, capacitor, and inductor. Unlike conventional electrical circuit elements, memristors do not belong to the class of linear time-invariant systems, because a linear time-invariant memristor is simply a conventional resistor. In the paper a special class of nonlinear feedback systems consisting of finite dimensional linear dynamical subsystems controlled by a memristance-based feedback controller with static nonlinearity is investigated. Key-Words: Memristance, feedback, nonlinearity, state space energy, chaotic behavior, dissipation structure. Introduction The concept of memristance was introduced and named by Leon Chua in his seminal paper [] in the year 97. The existence of the memristor as the fourth ideal electrical circuit element was predicted in 97 based on logical symmetry arguments, but it was clearly experimentally demonstrated thirty seven years later. It was not before April 0, 008, that a team at Hewlett Packard Labs reported about discovery of a switching memristor in the famous Nature article [], []. Remind that conventional circuit element - capacitor was discovered 745, the resistor 87, and inductor 8. Everybody knows that nonlinearity is universal property of any real-world system. Similarly the memristance is now known to be an intrinsic property of any real electronic circuit. Its existence could even have been deduced already by James Clerk Maxwell or by Gustav Kirchhoff, if either had consider nonlinear circuits in the 800 s. However, the scales at which the electric and electronic devices have been build for most of the past two centuries have prevented experimental observation of the memristance effect. Now, the situation changes dramatically. As we build smaller and smaller electronic devices, memristance is becoming significantly more noticeable and in nano-size it becomes even dominant. One immediate application offers an enabling low-cost technology for non-volatile memories. As a result, e.g. future computers would turn on instantly without the usual "booting time", currently required in all personal computers. Chua also speculates that they may be useful in the construction of artificial neural networks [4], [5]. Chua strongly believed that a fourth device existed to provide conceptual symmetry with the resistor, inductor, and capacitor. This symmetry follows from the description of basic passive circuit elements as defined by a relation between two of the four fundamental circuit variables, namely voltage, current, charge and flux. In principle, the memristor is a device linking charge and flux as time integrals of current and voltage. It is obvious that in connection with the concept of memristance the restriction on electrical interpretation of state space variables is not necessary. In this paper, fundamental properties of memristance based feedback systems are investigated. Memristor fundamentals As the electrical engineer Leon Chua pointed out, the fourth passive element - the memristor - should in fact be added to the list of basic circuit's elements. It is just the inability to duplicate the properties of the memistor with a combination of the other three passive circuit's elements, what makes the existence question of the memristor fundamental. The memristor is mathematically described by two nonlinear constitutive relations v = M ( q) i, or i = W ( ϕ ) v () between the terminal voltage v and terminal current i. The nonlinear functions M(q) and W(φ), are called the memristance and memductance, and are defined by [6]: dϕ( q) M( q) =, dq dq( ϕ) W ( ϕ) = () dϕ ISSN: ISBN:
2 Proceedings of the th WSEAS International Conference on SYSTEMS Notice that the functions M(q) and W(φ) determine the slope of static nonlinearities represented by nonlinear functions φ=φ(q) and q= q(φ), respectively. Recall that resistance R, is the rate of change of voltage with current; capacitance C, is the rate of change of charge with voltage; and similarly inductance L, is that of flux with current. For better understanding is the situation illustrated in the Fig.. i Resistor dv = Rdi Inductor dϕ = Ldi v dϕ = vdt ϕ Capacitor dq = Cdv dq = idt Memristor dϕ = Mdq Fig.. Logically complete set of passive circuit elements Thus, the memristor acts as a nonlinear resistor the dissipation power of which depends on the history of the circuit state variables, e.g. the voltage across it. On the other hand, it implies that if the memristance increases rapidly, current and power consumption will quickly stop. This is the essence of the memory effect. Dissipative system structures Let the system is defined by a given representation 0 () t = f[ x()] t + B u(), t x( t0 ) = x, () y() t = C x() t Let s notice that the vector field f of the state space velocity vector can, without any restriction of generality, be expressed in the semilinear form: f x () t = A ( x ) x () t (4) Recall that according to Liouville s theorem of vector analysis, dissipative systems have the important property that any volume of the state space strictly decreases under the action of the system flow. For linear as well as for a nonlinear systems with the state velocity vector given by a vector field f, the property of dissipativity is defined by: n f ( ) i div f( x ) = x < 0 (5) i= xi Thus a system defined by a matrix is dissipative if the matrix A(x) as negative trace. q It follows from the state space energy conservation principle that a special form of a structurally dissipative state equivalent system representation can be derived. It has been called generalized dissipation normal form. Its internal structure is determined by the following matrix: A α α α α α α α 0 0 = 0 0 αn αn αn, n α n αn αnn, (6) The structure of this representation is shown in Fig.. It is completely characterized by minimal number of independent (internal) state energy storage elements, represented by minimal number of state variables. ut () yt () ut () un() t α x β γ β β n x -α -α α α 4 -α -α -α -α nn x -α 4 n xn γ n γ yt () β γ Fig.. Structure of the dissipation normal form ut () yt () yt n() In some situations not only the state minimality, but also a property of parametric minimality is required. ISSN: ISBN:
3 Proceedings of the th WSEAS International Conference on SYSTEMS In the important special case of parametrically minimal system representation the internal structure reduces to: α α α 0 α α A = 0 0 αn 0 (7) α n 0 α n α n 0 Because both the derived system structures satisfy an abstract form of state space energy conservation principle, we have called them physically correct. It is worthwhile to notice that any of internal or external power-informational interactions, as depicted in the Fig.. may be nonlinear with respect to inputs, as well as to state variables. 4 Dissipativity and conservativity System representations having zero divergence preserve volume along state trajectories and are referred to as conservative. If a representation is neither dissipative, nor conservative, instability appears. Time evolution of the abstract state space energy E[x(t)] illustrating corresponding typical situations for the 6th order linear system is displayed in the Fig.. 5. i, i {,,,n}:α i 0,α 0 is equivalent to parametric and state minimality 6. i, i {,,,n}:α i 0,β 0 is equivalent to structural controlability 7. i, i {,,,n}:α i 0,γ 0 is equivalent to structural observability 8. i, i {,,,n}:α i 0,α > 0 is equivalent to structural asymptotic stability 5 Chaoticity due to memristive feedback Recall that the memristor represents a new nonlinear passive element of electrical circuits theory which may relate some state variable to flux without storing a magnetic field. As a motivating example, let s consider a 4th order nonlinear circuit with the internal structure corresponding to the matrix (7) with the constant parameter α (0)= interpreted as a resistance: = αx+ αx α + 0x 0 = αx+ αx α α 0 = = = αx + α4x4 α, x (0) = 0.5 (8) 4 = α4x α Consequently the corresponding nonlinear function α (.) should consistently be considered as a memristance. Typical course of the state space energy E(x) defined by E( x ) = x + x + x + x = ρ [ x,0] (9) and demonstrating chaotic nature of system behavior caused by the memristance is shown in Fig. 4. Fig. 4. Time evolution of the chaotic state space energy Fig.. Time evolution of state space energy E[x(t)] a) conservative case α = 0, e) instability α < 0, b) dissipativity α >0, α =0, c) dissipativity α >0, α 5 =0,d) asymptotic stability α >0, α k 0, k =,,,n Following elementary consequences of the state space energy conservation principle for parametrically minimal dissipation structure are in order:. α > 0 is necessary and sufficient for dissipativity. α < 0 is sufficient for structural instability. α = 0 is necessary and sufficient for conservativity 4. α > 0 is necessary for asymptotic stability Notice that in the first phase the state space energy displayed in the Fig. 4. increases. The course of the curve corresponds exactly to the time evolution in the case e) instability α < 0 shown in the Fig.. After the first transient phase the course changes in the way, which is characteristic for dissipativity. This process is repeating irregularly. It is easy to deduce that irregular alternating of both two typical regimes dissipativity and instability belongs to the most important attributes of chaotic behavior. Even more, it seems to be defining property of the deterministic chaos as a situation in which any motion of a given system is non-periodical, locally unstable and globally bounded. ISSN: ISBN:
4 Proceedings of the th WSEAS International Conference on SYSTEMS In order to give a simple explanation, let s assume that the system output is defined by the relation y(t)=x and and a system input is defined by the nonlinear feedback control u(t)=- Φ(x, x ) given by the memristance term Φ( x, x) = 0xx (0) Obviously for small values of control signal the system behaves as almost linear, the state space energy increases monotonically and local instability follows. On the other hand for large values of control signal the system behavior becomes strongly nonlinear, and as a result the state space energy increase will irregularly stop and, as a consequence of the memristive feedback, the global boundedness results. In the next section an analysis of memristive feedback from the energy dissipation rate point of view follows. 6 Effect of memristive feedback control At this point it seems to be evident that the concept of memristance can be interpreted as a special case of a significantly more general property, occurring in a broad class of nonlinear dynamical systems, including e.g. chaos generating systems. Thus a deep understanding of the memristor s dynamic nature, as well as the non-linear energy dissipation effects is necessary. From this point of view a concept of generalized memristor can be introduced as an abstract power dissipation subsystem of a nonlinear feedback system, the dissipation rate of which depends nonlinearly on the time history of some system state variables. Recall that the memristor represents a new passive element, which may relate some state variable to flux without storing a magnetic field. It means that nonzero current implies instantanously varying charge. On the other hand, it implies that if the memristance increases rapidly, current and power consumption will quickly stop. This is the essence of the memory effect. It follows that memristance can simply be seen as a property of charge-dependent resistance. If no current is applied, the memristance is constant, and consequently memristor reduces to a static circuit element ordinary linear resistor. In order to illustrate the effect, let s consider a simple nd order linear conservative system with input v(t) given by: y( t) + a y( t) = v( t) () Structure of the state representation is assumed: = + α x + u( t) () = α x The state space energy E(x) can be defined by Ex (, x) = E( x) + E( x) = x + x = ρ [ x,0] () We assume the output is given by the relation y(t)=x and a nonlinear control u(t)=-φ(y) has to be specified in such a way that the zero equilibrium state will be locally asymptotically stable in a region D X R. The state space energy of the representation () is observable if and only if a >0, and for power balance relation we get det () = Pt () = x. Φ( x) 0 (4) dt R( s) It means that the Taylor expansion of the mapping Φ(x ) should contain odd terms only, i.e. we define Φ( x) = ε α x βx (5) The structure of the matrix A(x) with feedback is given ε α βx, a A ( x, x) = (6) a, 0 and the system with memristive feedback Φ reads yt () + M( y) yt () + ayt () = 0 (7) Obviously the term M ( y) = ε α βy ( t) (8) plays the role of generalized memristance induced by the static nonlinearity Φ( x) = ε α x βx (9) because for yt () = x the defining relationship holds dφ( y) M ( y) = = ε α βy ( t) dy (0) Notice that in linear case (β=0) the memristance reduces to the resistance R=εα, and in the conservative case (ε=0) it reduces to zero, and thus for the dissipation power we get P(t)=0. 7 Structure of memristive feedback As an example of generalized memristive feedback let s consider an even memristance function M(y) induced by derivative of an odd static nonlinearity illustrated by a typicalϕ - q characteristic shown in the Fig. 5., [7], [8]. q 0 Fig. 5. Typical example of odd static nonlinearity ϕ ISSN: ISBN:
5 Proceedings of the th WSEAS International Conference on SYSTEMS It is obvious that, as a straightforward modification, instead of the generalized memristance M(y) it's inverse W(φ) called generalized memductance can also be used. Fig. 6. can be considered as an example. Fig. 6. Example of an even memductance function As an example of the nonlinear dissipation structure a typical internal structure of the nonlinear feedback system representation is displayed in the Fig. 7. The system consists of a linear subsystem (dissipative or conservative) as presented in sections. and 4., and of a memristive feedback control subsystem as discussed in the part 6., and motivated by chaoticity effects as briefly demonstrated in the part 5., [9]. Memristive feedback control The whole 4 th order nonlinear feedback system is described by corresponding four state equations with the last state equation in integral form, representing explicitly the memristive feedback interaction = W( w) x+ x C C = x+ x L L = x + Gx C C t wt () = x( τ)d τ + wt ( ) t 0 0 () Notice that a standard physical interpretation of system parameters from electrical circuit's theory is used. For G=0 and for given choice of state variables the unique physical circuit structure is displayed in the Fig. 8. w W( w) Fig. 8. The oscillator with flux-controlled memductance /C x /C /C x x / L / L Linear conservative subsystem Fig. 7. Dissipation structure with memristive feedback The linear subsystem of the topological structure shown in the Fig. 7. can be described by the standard rd order state representation () with the nonlinear state velocity vector field given in the semilinear form f x () t = A ( x ) x () t () Because the additional linear dissipation term Gx () C can in principle be included in the memristive feedback in the Fig. 7. it is also not explicitly displayed there. Let s now make a further step and define the gradient vector of a state space energy function E(x) grad xe = [ Cx, Lx, Cx] (4) Using the chosen set of system parameters we get by integration E( x, x, x) = E( x) + E( x) + E( x) (5) where conventional terms for energy components follow E( x) = Cx E( x) = Lx (6) E( x) = Cx Obviously, now the state space energy conservation principle can be expressed as a standard dual product of the state space energy gradient vector grad x E and the state space velocity vector, [0]. ISSN: ISBN:
6 Proceedings of the th WSEAS International Conference on SYSTEMS By substitution from (4) and from state equations () we get it in following form of a power balance relation de = gradx E, = R( ϕ ) dt R( ϕ ) = Cx W( wx ) + x C C + Lx( x + x) L G + Cx x + x = C C W( w) x Gx (7) = + In such a way not only the physical meaning of chosen state variables but physical interpretation of individual state equations can be specified as well. For the given choice it follows e.g. from the eqn. (6) that the first and the third state variables have to be voltages on the corresponding capacitors, while the second one is the current of the inductor. Further we can see from (7) that the resistor with the conductance G would have to be physically connected parallel to the capacitor C, and the memristor with the memductance W(w) has to be connected parallel to the capacitor C. From (7) as well as from the Fig. 7. it follows that nonquadratic term in the dissipation power depends exclusively on x, the voltage v. Therefore it seems natural to say that in this case the voltage-controlled dissipation structure results. It is well known that the following linear nonsingular state space equivalence transformation q = Cv ϕ = Li (8) q = Cv representing a physically motivated linear scaling, (or any of its linear or nonlinear generalizations), can be used as well. Hence, from the first row of (8) we can conclude that the scaled state variable x represents the charge q. In conventional terminology it would mean that in this case we have got a nonlinear dissipative circuit with the so called charge-controlled memristor. Thus we can conclude that physical interpretation of any dissipation structure elements follows from the chosen set of the state variables and from theirs relationship to fundamental variables - charges and fluxes. Some sceptics argue that the memristor is not a fourth fundamental circuit element but an example of bad science. The crux of their arguments rests on two fundamental misunderstandings: at first, they overlook the expanded design space arising from structures based on strongly nonlinear circuit elements. The second and more profound misunderstanding concerns Prof. Chua s mathematical definition of a memristor. At first, most people did not understand the real nature of the general concept of memristance. In paradigm of the conventional electrical circuits theory the concept of memristor actually has been defined strictly by means of electromagnetic interactions expressed by a relationship between electric charge and magnetic flux. However the real content of the Chua s concept of memristance is significantly more general and obviously can bypass electromagnetic interactions altogether. We have demonstrated that proposed significantly more general paradigm of nonlinear dissipation structures based on the state space energy and on the concept of memristive feedback can be useful. It is worthwhile to notice that Chua s memristance definition has two parts: The first one generalizes the Ohm s law to nonlinear situation, and defines how the memristor s voltage depends on the current and on a further changing state variable. The second one describes how the changing state variable depends on the amount of charge flowing through the device. The next modification of the example defined by the eq. () dq = W ( ϕ ) q + ϕ dt C L dϕ = q + q dt C C (9) dq G = ϕ q dt L C dϕ = q dt C can be useful for better understanding. The matrix A(x) of the circuit representing a set of state equations (9) of a rd order nonlinear electrical circuit with the last row as an additional feedback interaction is compatible with the structure shown in the Fig. 7., and can be expressed in the form W ( ϕ) 0 0 C L 0 0 C C (0) A(.) = G 0 0 L L C Dissipative feedback structures depending on a variety of memductance functions W(y) as well as ones with negative inductances -L and capacitances -C can be treated by the same way, too. ISSN: ISBN:
7 Proceedings of the th WSEAS International Conference on SYSTEMS In this connection an example of an active electric circuit in the Fig.9., 0. can provide useful motivation. R R + i L i + + C C () v v Wϕ Fig. 9. Negative inductor L and negative capacitor C realization by using operational amplifier. ϕ W ( ϕ ) Fig.. D projection of chaotic system: φ, v, v. /C x q / L /C ϕ / L q /C Fig. 0. Structure of feedback system with flux-controlled memristor. 8 Simulation results In this section, the simulation results of the circuit which is described by eq. (9) and system structure according Fig. 0. are shown. The simulation parameters were: C = 0 nf, L=-7.95 mh, C =-.6 nf and initial conditions: φ=0, v =0.0, i=0, v =0. The results are shown in Fig.. Fig.. D projection of chaotic system: i, φ. The simulations shows that the system described by eq. (9) and structure according Fig. 0., has a chaotic attractor as shown in Fig.. Calculating the Lyapunov exponents from sampled time series give one positive exponent λ =0.. When the nonlinear function is changed (multiplied by 0 on x-axes and y-axes) the pseudo chaotic system with two distinct unstable periodic attractors is simulation result. The D and D projections are shown in Fig. 4, 5 and 6. Fig.. The time diagram of φ(t). Fig. 4. D projection of pseudo-chaotic system with modified nonlinear function W(φ). ISSN: ISBN:
8 Proceedings of the th WSEAS International Conference on SYSTEMS could replace transistors in future computers, taking up a much smaller area. They can also be fashioned into non-volatile solid-state memory, which would allow greater data density than hard drives with access times potentially similar to DRAM. In this paper we demonstrated that proposed significantly more general paradigm of nonlinear dissipation structures based on the state space energy and on the concept of memristive feedback can be useful in electronic circuits design. Fig. 5. D projection of pseudo-chaotic system with modified nonlinear function W(φ). Variables: v, i. Fig. 6. D projection of pseudo-chaotic system with modified nonlinear function W(φ). Variables: v, v. 9 Conclusion Memristor-based memory devices have the potential to lower power consumption and provide greater reliability in the face of power interruptions to a data center. Another potential application of memristor technology could be the development of computer systems that remember and associate series of events in a manner similar to the way a human brain recognizes patterns. This could substantially improve today s facial recognition technology, enable security and privacy features that recognize a complex set of biometric features of an authorized person to access personal information, or enable an appliance to learn from experience. For some memristors, applied current or voltage will cause a great change in resistance. Such devices may be characterized as switches by investigating the time and energy that must be spent in order to achieve a desired change in resistance.the solid-state memristors can be combined into devices called crossbar latches, which ACKNOWLEDGMENT This work has been supported from Department of Applied Electronics and Telecommunications, University of West Bohemia, Plzen, Czech Republic and GACR project No. 0/07/047. References: [] Chua, L. O., Memristor-The missing circuit element. IEEE Trans. Circ. Theory.CT-8, 97, pp [] Strukov, D. B., Snider, G. S., Stewart, D. R. & Williams, R. S., The missing memristor found. Nature 45, 008,pp [] Yang, J. J., Pickett, M. D., Li, X., Ohlberg, D. A. A., Stewart, D. R. & Williams, R. S., Memristive switching mechanism for metal/oxide/metal nanodevices. Nature Nano-technology, 008, pp [4] Pershin, Yu. V. & Di Ventra, M., Spin memristive systems: Spin memory effects in semiconductor spintronics. Phys. Rev. B 78, 008. [5] Erokhin, V. & Fontana, M. P., Electrochemically controlled polymeric device: amemristor (and more) found two years ago. arxiv: [6] Itoh, Makoto, Chua, L.O, Memristor Oscillators, Intl. Journ. of Bifurcations and Chaos, Vol. 8, No., 008, pp [7] Chua, L. O., Kocarev, L., Eckert, K. & Itoh, M., Experimental chaos synchronization in Chua's circuit, Int. J. Bifurcation and Chaos (), 99, pp [8] Chua, L. O., Itoh, M., Kocarev, L. & Eckert, K., Chaos synchronization in Chua's circuit, J. Circuits Syst. Comput. (), 99, pp [9] Hrusak J., Mayer D., Stork M., On System Structure Reconstruction Problem And Tellegen- Like Relations, Proc. of 8 th World Multiconf.,SCI, Vol. VIII, Florida, USA, 004, pp [0] Hrusak J., Mayer D., J. Lahoda, Stork M., On Synthesis of Controlled Chaos Based On Lyapunov-Tellegen s Principle, Proc. of Intl. Conf. SICPRO 08, V.A.Trapeznikov Inst. of Control Sciences, Moscow, Russia, 008, pp ISSN: ISBN:
Complex Dynamics of a Memristor Based Chua s Canonical Circuit
Complex Dynamics of a Memristor Based Chua s Canonical Circuit CHRISTOS K. VOLOS Department of Mathematics and Engineering Sciences Univ. of Military Education - Hellenic Army Academy Athens, GR6673 GREECE
More informationMathematical analysis of a third-order memristor-based Chua oscillators
Mathematical analysis of a third-order memristor-based Chua oscillators Vanessa Botta, Cristiane Néspoli, Marcelo Messias Depto de Matemática, Estatística e Computação, Faculdade de Ciências e Tecnologia,
More informationImplementing Memristor Based Chaotic Circuits
Implementing Memristor Based Chaotic Circuits Bharathwaj Muthuswamy Electrical Engineering and Computer Sciences University of California at Berkeley Technical Report No. UCB/EECS-2009-156 http://www.eecs.berkeley.edu/pubs/techrpts/2009/eecs-2009-156.html
More informationWindow Function Analysis of Nonlinear Behaviour of Fourth Fundamental Passive Circuit Element: Memristor
IOSR Journal of Electronics and Communication Engineering (IOSR-JECE) e-issn: 2278-2834,p- ISSN: 2278-8735.Volume 12, Issue 3, Ver. III (May - June 217), PP 58-63 www.iosrjournals.org Window Function Analysis
More informationMemristor Based Chaotic Circuits
Memristor Based Chaotic Circuits Bharathwaj Muthuswamy Electrical Engineering and Computer Sciences University of California at Berkeley Technical Report No. UCB/EECS-2009-6 http://www.eecs.berkeley.edu/pubs/techrpts/2009/eecs-2009-6.html
More informationA short history of memristor development. R. Stanley Williams HP Labs
A short history of memristor development R. Stanley Williams HP Labs Historical Background During the 1960's, Prof. Leon Chua, who was then at Purdue University, established the mathematical foundation
More informationImplementation of a new memristor-based multiscroll hyperchaotic system
Pramana J. Phys. (7) 88: 3 DOI.7/s3-6-3-3 c Indian Academy of Sciences Implementation of a ne memristor-based multiscroll hyperchaotic system CHUNHUA WANG, HU XIA and LING ZHOU College of Computer Science
More informationFrom Spin Torque Random Access Memory to Spintronic Memristor. Xiaobin Wang Seagate Technology
From Spin Torque Random Access Memory to Spintronic Memristor Xiaobin Wang Seagate Technology Contents Spin Torque Random Access Memory: dynamics characterization, device scale down challenges and opportunities
More informationPinched hysteresis loops are a fingerprint of square law capacitors
Pinched hysteresis loops are a fingerprint of square law capacitors Blaise Mouttet Abstract It has been claimed that pinched hysteresis curves are the fingerprint of memristors. This paper demonstrates
More informationExperimental and numerical realization of higher order autonomous Van der Pol-Duffing oscillator
Indian Journal of Pure & Applied Physics Vol. 47, November 2009, pp. 823-827 Experimental and numerical realization of higher order autonomous Van der Pol-Duffing oscillator V Balachandran, * & G Kandiban
More informationCIRCUITS elements that store information without the
1 Circuit elements with memory: memristors, memcapacitors and meminductors Massimiliano Di Ventra, Yuriy V. Pershin, and Leon O. Chua, Fellow, IEEE arxiv:91.3682v1 [cond-mat.mes-hall] 23 Jan 29 Abstract
More informationA Memristor Model with Piecewise Window Function
RAIOENGINEERING, VOL. 22, NO. 4, ECEMBER 23 969 A Memristor Model with Piecewise Window Function Juntang YU, Xiaomu MU, Xiangming XI, Shuning WANG ept. of Automation, TNList, Tsinghua University, Qinghuayuan,
More informationChaos in Modified CFOA-Based Inductorless Sinusoidal Oscillators Using a Diode
Chaotic Modeling and Simulation CMSIM) 1: 179-185, 2013 Chaos in Modified CFOA-Based Inductorless Sinusoidal Oscillators Using a iode Buncha Munmuangsaen and Banlue Srisuchinwong Sirindhorn International
More informationEnergy Storage Elements: Capacitors and Inductors
CHAPTER 6 Energy Storage Elements: Capacitors and Inductors To this point in our study of electronic circuits, time has not been important. The analysis and designs we have performed so far have been static,
More informationA FEASIBLE MEMRISTIVE CHUA S CIRCUIT VIA BRIDGING A GENERALIZED MEMRISTOR
Journal of Applied Analysis and Computation Volume 6, Number 4, November 2016, 1152 1163 Website:http://jaac-online.com/ DOI:10.11948/2016076 A FEASIBLE MEMRISTIVE CHUA S CIRCUIT VIA BRIDGING A GENERALIZED
More informationExperimental verification of the Chua s circuit designed with UGCs
Experimental verification of the Chua s circuit designed with UGCs C. Sánchez-López a), A. Castro-Hernández, and A. Pérez-Trejo Autonomous University of Tlaxcala Calzada Apizaquito S/N, Apizaco, Tlaxcala,
More informationRICH VARIETY OF BIFURCATIONS AND CHAOS IN A VARIANT OF MURALI LAKSHMANAN CHUA CIRCUIT
International Journal of Bifurcation and Chaos, Vol. 1, No. 7 (2) 1781 1785 c World Scientific Publishing Company RICH VARIETY O BIURCATIONS AND CHAOS IN A VARIANT O MURALI LAKSHMANAN CHUA CIRCUIT K. THAMILMARAN
More informationStudy on Proportional Synchronization of Hyperchaotic Circuit System
Commun. Theor. Phys. (Beijing, China) 43 (25) pp. 671 676 c International Academic Publishers Vol. 43, No. 4, April 15, 25 Study on Proportional Synchronization of Hyperchaotic Circuit System JIANG De-Ping,
More informationADAPTIVE SYNCHRONIZATION FOR RÖSSLER AND CHUA S CIRCUIT SYSTEMS
Letters International Journal of Bifurcation and Chaos, Vol. 12, No. 7 (2002) 1579 1597 c World Scientific Publishing Company ADAPTIVE SYNCHRONIZATION FOR RÖSSLER AND CHUA S CIRCUIT SYSTEMS A. S. HEGAZI,H.N.AGIZA
More informationInductance, RL and RLC Circuits
Inductance, RL and RLC Circuits Inductance Temporarily storage of energy by the magnetic field When the switch is closed, the current does not immediately reach its maximum value. Faraday s law of electromagnetic
More informationMajid Sodagar, 1 Patrick Chang, 1 Edward Coyler, 1 and John Parke 1 School of Physics, Georgia Institute of Technology, Atlanta, Georgia 30332, USA
Experimental Characterization of Chua s Circuit Majid Sodagar, 1 Patrick Chang, 1 Edward Coyler, 1 and John Parke 1 School of Physics, Georgia Institute of Technology, Atlanta, Georgia 30332, USA (Dated:
More informationAC&ST AUTOMATIC CONTROL AND SYSTEM THEORY SYSTEMS AND MODELS. Claudio Melchiorri
C. Melchiorri (DEI) Automatic Control & System Theory 1 AUTOMATIC CONTROL AND SYSTEM THEORY SYSTEMS AND MODELS Claudio Melchiorri Dipartimento di Ingegneria dell Energia Elettrica e dell Informazione (DEI)
More informationFinding the Missing Memristor
February 11, 29 Finding the Missing Memristor 3 nm Stan Williams HP 26 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice Acknowledgments People
More informationREUNotes08-CircuitBasics May 28, 2008
Chapter One Circuits (... introduction here... ) 1.1 CIRCUIT BASICS Objects may possess a property known as electric charge. By convention, an electron has one negative charge ( 1) and a proton has one
More informationSoftware Implementation of Higher-Order Elements
Software Implementation of Higher-Order lements VIRA BIOLKOVÁ ), DALIBOR BIOLK,3), ZDNĚK KOLKA ) Departments of Radioelectronics ) and Microelectronics ), Brno University of Technology Department of lectrical
More informationSeries RC and RL Time Domain Solutions
ECE2205: Circuits and Systems I 6 1 Series RC and RL Time Domain Solutions In the last chapter, we saw that capacitors and inductors had element relations that are differential equations: i c (t) = C d
More informationCIRCUIT ELEMENT: CAPACITOR
CIRCUIT ELEMENT: CAPACITOR PROF. SIRIPONG POTISUK ELEC 308 Types of Circuit Elements Two broad types of circuit elements Ati Active elements -capable of generating electric energy from nonelectric energy
More informationIntroduction to AC Circuits (Capacitors and Inductors)
Introduction to AC Circuits (Capacitors and Inductors) Amin Electronics and Electrical Communications Engineering Department (EECE) Cairo University elc.n102.eng@gmail.com http://scholar.cu.edu.eg/refky/
More informationSTUDY OF SYNCHRONIZED MOTIONS IN A ONE-DIMENSIONAL ARRAY OF COUPLED CHAOTIC CIRCUITS
International Journal of Bifurcation and Chaos, Vol 9, No 11 (1999) 19 4 c World Scientific Publishing Company STUDY OF SYNCHRONIZED MOTIONS IN A ONE-DIMENSIONAL ARRAY OF COUPLED CHAOTIC CIRCUITS ZBIGNIEW
More informationLecture 39. PHYC 161 Fall 2016
Lecture 39 PHYC 161 Fall 016 Announcements DO THE ONLINE COURSE EVALUATIONS - response so far is < 8 % Magnetic field energy A resistor is a device in which energy is irrecoverably dissipated. By contrast,
More informationExperimental Characterization of Nonlinear Dynamics from Chua s Circuit
Experimental Characterization of Nonlinear Dynamics from Chua s Circuit John Parker*, 1 Majid Sodagar, 1 Patrick Chang, 1 and Edward Coyle 1 School of Physics, Georgia Institute of Technology, Atlanta,
More information698 Zou Yan-Li et al Vol. 14 and L 2, respectively, V 0 is the forward voltage drop across the diode, and H(u) is the Heaviside function 8 < 0 u < 0;
Vol 14 No 4, April 2005 cfl 2005 Chin. Phys. Soc. 1009-1963/2005/14(04)/0697-06 Chinese Physics and IOP Publishing Ltd Chaotic coupling synchronization of hyperchaotic oscillators * Zou Yan-Li( ΠΛ) a)y,
More informationSynchronization and control in small networks of chaotic electronic circuits
Synchronization and control in small networks of chaotic electronic circuits A. Iglesias Dept. of Applied Mathematics and Computational Sciences, Universi~ of Cantabria, Spain Abstract In this paper, a
More informationAC vs. DC Circuits. Constant voltage circuits. The voltage from an outlet is alternating voltage
Circuits AC vs. DC Circuits Constant voltage circuits Typically referred to as direct current or DC Computers, logic circuits, and battery operated devices are examples of DC circuits The voltage from
More informationResponse of Second-Order Systems
Unit 3 Response of SecondOrder Systems In this unit, we consider the natural and step responses of simple series and parallel circuits containing inductors, capacitors and resistors. The equations which
More informationSimple Chaotic Oscillator: From Mathematical Model to Practical Experiment
6 J. PERŽELA, Z. KOLKA, S. HANUS, SIMPLE CHAOIC OSCILLAOR: FROM MAHEMAICAL MODEL Simple Chaotic Oscillator: From Mathematical Model to Practical Experiment Jiří PERŽELA, Zdeněk KOLKA, Stanislav HANUS Dept.
More informationK. Pyragas* Semiconductor Physics Institute, LT-2600 Vilnius, Lithuania Received 19 March 1998
PHYSICAL REVIEW E VOLUME 58, NUMBER 3 SEPTEMBER 998 Synchronization of coupled time-delay systems: Analytical estimations K. Pyragas* Semiconductor Physics Institute, LT-26 Vilnius, Lithuania Received
More information9. M = 2 π R µ 0 n. 3. M = π R 2 µ 0 n N correct. 5. M = π R 2 µ 0 n. 8. M = π r 2 µ 0 n N
This print-out should have 20 questions. Multiple-choice questions may continue on the next column or page find all choices before answering. 00 0.0 points A coil has an inductance of 4.5 mh, and the current
More informationADAPTIVE FEEDBACK LINEARIZING CONTROL OF CHUA S CIRCUIT
International Journal of Bifurcation and Chaos, Vol. 12, No. 7 (2002) 1599 1604 c World Scientific Publishing Company ADAPTIVE FEEDBACK LINEARIZING CONTROL OF CHUA S CIRCUIT KEVIN BARONE and SAHJENDRA
More informationStabilization of Hyperbolic Chaos by the Pyragas Method
Journal of Mathematics and System Science 4 (014) 755-76 D DAVID PUBLISHING Stabilization of Hyperbolic Chaos by the Pyragas Method Sergey Belyakin, Arsen Dzanoev, Sergey Kuznetsov Physics Faculty, Moscow
More informationTime-delay feedback control in a delayed dynamical chaos system and its applications
Time-delay feedback control in a delayed dynamical chaos system and its applications Ye Zhi-Yong( ), Yang Guang( ), and Deng Cun-Bing( ) School of Mathematics and Physics, Chongqing University of Technology,
More information(Refer Slide Time: 00:01:30 min)
Control Engineering Prof. M. Gopal Department of Electrical Engineering Indian Institute of Technology, Delhi Lecture - 3 Introduction to Control Problem (Contd.) Well friends, I have been giving you various
More informationHandout 2: Invariant Sets and Stability
Engineering Tripos Part IIB Nonlinear Systems and Control Module 4F2 1 Invariant Sets Handout 2: Invariant Sets and Stability Consider again the autonomous dynamical system ẋ = f(x), x() = x (1) with state
More informationChua s Oscillator Using CCTA
Chua s Oscillator Using CCTA Chandan Kumar Choubey 1, Arun Pandey 2, Akanksha Sahani 3, Pooja Kadam 4, Nishikant Surwade 5 1,2,3,4,5 Department of Electronics and Telecommunication, Dr. D. Y. Patil School
More informationChaotic memristor. T. Driscoll Y.V. Pershin D.N. Basov M. Di Ventra
Appl Phys A (2011) 102: 885 889 DOI 10.1007/s00339-011-6318-z Chaotic memristor T. Driscoll Y.V. Pershin D.N. Basov M. Di Ventra Received: 18 October 2010 / Accepted: 22 December 2010 / Published online:
More informationHandout 10: Inductance. Self-Inductance and inductors
1 Handout 10: Inductance Self-Inductance and inductors In Fig. 1, electric current is present in an isolate circuit, setting up magnetic field that causes a magnetic flux through the circuit itself. This
More informationMemristive model of amoeba learning
PHYSICAL REVIEW E 8, 2926 29 Memristive model of amoeba learning Yuriy V. Pershin,,2, * Steven La Fontaine, and Massimiliano Di Ventra, Department of Physics, University of California, San Diego, La Jolla,
More information6. Introduction and Chapter Objectives
Real Analog - Circuits Chapter 6: Energy Storage Elements 6. Introduction and Chapter Objectives So far, we have considered circuits that have been governed by algebraic relations. These circuits have,
More informationPhysics 220: Worksheet 7
(1 A resistor R 1 =10 is connected in series with a resistor R 2 =100. A current I=0.1 A is present through the circuit. What is the power radiated in each resistor and also in the total circuit? (2 A
More informationBasic. Theory. ircuit. Charles A. Desoer. Ernest S. Kuh. and. McGraw-Hill Book Company
Basic C m ш ircuit Theory Charles A. Desoer and Ernest S. Kuh Department of Electrical Engineering and Computer Sciences University of California, Berkeley McGraw-Hill Book Company New York St. Louis San
More informationInductance, Inductors, RL Circuits & RC Circuits, LC, and RLC Circuits
Inductance, Inductors, RL Circuits & RC Circuits, LC, and RLC Circuits Self-inductance A time-varying current in a circuit produces an induced emf opposing the emf that initially set up the timevarying
More informationSYNCHRONIZING CHAOTIC ATTRACTORS OF CHUA S CANONICAL CIRCUIT. THE CASE OF UNCERTAINTY IN CHAOS SYNCHRONIZATION
International Journal of Bifurcation and Chaos, Vol. 16, No. 7 (2006) 1961 1976 c World Scientific Publishing Company SYNCHRONIZING CHAOTIC ATTRACTORS OF CHUA S CANONICAL CIRCUIT. THE CASE OF UNCERTAINTY
More informationA new passivity property of linear RLC circuits with application to Power Shaping Stabilization
A new passivity property of linear RLC circuits with application to Power Shaping Stabilization Eloísa García Canseco and Romeo Ortega Abstract In this paper we characterize the linear RLC networks for
More informationChapter 26 Direct-Current Circuits
Chapter 26 Direct-Current Circuits 1 Resistors in Series and Parallel In this chapter we introduce the reduction of resistor networks into an equivalent resistor R eq. We also develop a method for analyzing
More informationWhat happens when things change. Transient current and voltage relationships in a simple resistive circuit.
Module 4 AC Theory What happens when things change. What you'll learn in Module 4. 4.1 Resistors in DC Circuits Transient events in DC circuits. The difference between Ideal and Practical circuits Transient
More informationNONLINEAR AND ADAPTIVE (INTELLIGENT) SYSTEMS MODELING, DESIGN, & CONTROL A Building Block Approach
NONLINEAR AND ADAPTIVE (INTELLIGENT) SYSTEMS MODELING, DESIGN, & CONTROL A Building Block Approach P.A. (Rama) Ramamoorthy Electrical & Computer Engineering and Comp. Science Dept., M.L. 30, University
More informationAntimonotonicity in Chua s Canonical Circuit with a Smooth Nonlinearity
Antimonotonicity in Chua s Canonical Circuit with a Smooth Nonlinearity IOANNIS Μ. KYPRIANIDIS & MARIA Ε. FOTIADOU Physics Department Aristotle University of Thessaloniki Thessaloniki, 54124 GREECE Abstract:
More informationA New Circuit for Generating Chaos and Complexity: Analysis of the Beats Phenomenon
A New Circuit for Generating Chaos and Complexity: Analysis of the Beats Phenomenon DONATO CAFAGNA, GIUSEPPE GRASSI Diparnto Ingegneria Innovazione Università di Lecce via Monteroni, 73 Lecce ITALY Abstract:
More informationSynchronization-based parameter estimation from time series
PHYSICAL REVIEW E VOLUME 54, NUMBER 6 DECEMBER 1996 Synchronization-based parameter estimation from time series U. Parlitz and L. Junge Drittes Physikalisches Institut, Universität Göttingen, Bürgerstra
More informationA simple electronic circuit to demonstrate bifurcation and chaos
A simple electronic circuit to demonstrate bifurcation and chaos P R Hobson and A N Lansbury Brunel University, Middlesex Chaos has generated much interest recently, and many of the important features
More informationTHREE DIMENSIONAL SYSTEMS. Lecture 6: The Lorenz Equations
THREE DIMENSIONAL SYSTEMS Lecture 6: The Lorenz Equations 6. The Lorenz (1963) Equations The Lorenz equations were originally derived by Saltzman (1962) as a minimalist model of thermal convection in a
More informationIntroduction to Electric Circuit Analysis
EE110300 Practice of Electrical and Computer Engineering Lecture 2 and Lecture 4.1 Introduction to Electric Circuit Analysis Prof. Klaus Yung-Jane Hsu 2003/2/20 What Is An Electric Circuit? Electrical
More informationExperiment Guide for RC Circuits
Guide-P1 Experiment Guide for RC Circuits I. Introduction 1. Capacitors A capacitor is a passive electronic component that stores energy in the form of an electrostatic field. The unit of capacitance is
More informationBasic Electronics. Introductory Lecture Course for. Technology and Instrumentation in Particle Physics Chicago, Illinois June 9-14, 2011
Basic Electronics Introductory Lecture Course for Technology and Instrumentation in Particle Physics 2011 Chicago, Illinois June 9-14, 2011 Presented By Gary Drake Argonne National Laboratory drake@anl.gov
More informationA Novel Three Dimension Autonomous Chaotic System with a Quadratic Exponential Nonlinear Term
ETASR - Engineering, Technology & Applied Science Research Vol., o.,, 9-5 9 A Novel Three Dimension Autonomous Chaotic System with a Quadratic Exponential Nonlinear Term Fei Yu College of Information Science
More informationCOMPLEX DYNAMICS IN HYSTERETIC NONLINEAR OSCILLATOR CIRCUIT
THE PUBLISHING HOUSE PROCEEDINGS OF THE ROMANIAN ACADEM, Series A, OF THE ROMANIAN ACADEM Volume 8, Number 4/7, pp. 7 77 COMPLEX DNAMICS IN HSTERETIC NONLINEAR OSCILLATOR CIRCUIT Carmen GRIGORAS,, Victor
More informationSome of the different forms of a signal, obtained by transformations, are shown in the figure. jwt e z. jwt z e
Transform methods Some of the different forms of a signal, obtained by transformations, are shown in the figure. X(s) X(t) L - L F - F jw s s jw X(jw) X*(t) F - F X*(jw) jwt e z jwt z e X(nT) Z - Z X(z)
More informationPhys 2025, First Test. September 20, minutes Name:
Phys 05, First Test. September 0, 011 50 minutes Name: Show all work for maximum credit. Each problem is worth 10 points. Work 10 of the 11 problems. k = 9.0 x 10 9 N m / C ε 0 = 8.85 x 10-1 C / N m e
More informationInductance, RL Circuits, LC Circuits, RLC Circuits
Inductance, R Circuits, C Circuits, RC Circuits Inductance What happens when we close the switch? The current flows What does the current look like as a function of time? Does it look like this? I t Inductance
More informationOne dimensional Maps
Chapter 4 One dimensional Maps The ordinary differential equation studied in chapters 1-3 provide a close link to actual physical systems it is easy to believe these equations provide at least an approximate
More informationA Memristive Diode Bridge-Based Canonical Chua s Circuit
Entropy 014, 16, 6464-6476; doi:10.3390/e1616464 Article OPEN ACCE entropy IN 1099-4300 www.mdpi.com/journal/entropy A Memristive Diode Bridge-Based Canonical Chua s Circuit Mo Chen, Jingjing Yu, Qing
More informationParameter Matching Using Adaptive Synchronization of Two Chua s Oscillators: MATLAB and SPICE Simulations
Parameter Matching Using Adaptive Synchronization of Two Chua s Oscillators: MATLAB and SPICE Simulations Valentin Siderskiy and Vikram Kapila NYU Polytechnic School of Engineering, 6 MetroTech Center,
More informationPhysics for Scientists & Engineers 2
Electromagnetic Oscillations Physics for Scientists & Engineers Spring Semester 005 Lecture 8! We have been working with circuits that have a constant current a current that increases to a constant current
More informationA SYSTEMATIC APPROACH TO GENERATING n-scroll ATTRACTORS
International Journal of Bifurcation and Chaos, Vol. 12, No. 12 (22) 297 2915 c World Scientific Publishing Company A SYSTEMATIC APPROACH TO ENERATIN n-scroll ATTRACTORS UO-QUN ZHON, KIM-FUN MAN and UANRON
More informationLouisiana State University Physics 2102, Exam 3 April 2nd, 2009.
PRINT Your Name: Instructor: Louisiana State University Physics 2102, Exam 3 April 2nd, 2009. Please be sure to PRINT your name and class instructor above. The test consists of 4 questions (multiple choice),
More informationDivergent Fields, Charge, and Capacitance in FDTD Simulations
Divergent Fields, Charge, and Capacitance in FDTD Simulations Christopher L. Wagner and John B. Schneider August 2, 1998 Abstract Finite-difference time-domain (FDTD) grids are often described as being
More informationElectrical measurements:
Electrical measurements: Last time we saw that we could define circuits though: current, voltage and impedance. Where the impedance of an element related the voltage to the current: This is Ohm s law.
More informationA New Dynamic Phenomenon in Nonlinear Circuits: State-Space Analysis of Chaotic Beats
A New Dynamic Phenomenon in Nonlinear Circuits: State-Space Analysis of Chaotic Beats DONATO CAFAGNA, GIUSEPPE GRASSI Diparnto Ingegneria Innovazione Università di Lecce via Monteroni, 73 Lecce ITALY giuseppe.grassi}@unile.it
More informationBursting Oscillations of Neurons and Synchronization
Bursting Oscillations of Neurons and Synchronization Milan Stork Applied Electronics and Telecommunications, Faculty of Electrical Engineering/RICE University of West Bohemia, CZ Univerzitni 8, 3064 Plzen
More information8. Electric Currents
8. Electric Currents S. G. Rajeev January 30, 2011 An electric current is produced by the movement of electric charges. In most cases these are electrons. A conductor is a material through which an electric
More informationINDUCTANCE Self Inductance
NDUTANE 3. Self nductance onsider the circuit shown in the Figure. When the switch is closed the current, and so the magnetic field, through the circuit increases from zero to a specific value. The increasing
More informationTexas A & M University Department of Mechanical Engineering MEEN 364 Dynamic Systems and Controls Dr. Alexander G. Parlos
Texas A & M University Department of Mechanical Engineering MEEN 364 Dynamic Systems and Controls Dr. Alexander G. Parlos Lecture 5: Electrical and Electromagnetic System Components The objective of this
More informationSource-Free RC Circuit
First Order Circuits Source-Free RC Circuit Initial charge on capacitor q = Cv(0) so that voltage at time 0 is v(0). What is v(t)? Prof Carruthers (ECE @ BU) EK307 Notes Summer 2018 150 / 264 First Order
More informationConstruction of Classes of Circuit-Independent Chaotic Oscillators Using Passive-Only Nonlinear Devices
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I: FUNDAMENTAL THEORY AND APPLICATIONS, VOL. 48, NO. 3, MARCH 2001 289 Construction of Classes of Circuit-Independent Chaotic Oscillators Using Passive-Only Nonlinear
More informationPHYS 1441 Section 001 Lecture #23 Monday, Dec. 4, 2017
PHYS 1441 Section 1 Lecture #3 Monday, Dec. 4, 17 Chapter 3: Inductance Mutual and Self Inductance Energy Stored in Magnetic Field Alternating Current and AC Circuits AC Circuit W/ LRC Chapter 31: Maxwell
More informationChapter 6. Second order differential equations
Chapter 6. Second order differential equations A second order differential equation is of the form y = f(t, y, y ) where y = y(t). We shall often think of t as parametrizing time, y position. In this case
More information12 Chapter Driven RLC Circuits
hapter Driven ircuits. A Sources... -. A ircuits with a Source and One ircuit Element... -3.. Purely esistive oad... -3.. Purely Inductive oad... -6..3 Purely apacitive oad... -8.3 The Series ircuit...
More informationSchool of Engineering Faculty of Built Environment, Engineering, Technology & Design
Module Name and Code : ENG60803 Real Time Instrumentation Semester and Year : Semester 5/6, Year 3 Lecture Number/ Week : Lecture 3, Week 3 Learning Outcome (s) : LO5 Module Co-ordinator/Tutor : Dr. Phang
More informationA SYSTEMATIC PROCEDURE FOR SYNCHRONIZING HYPERCHAOS VIA OBSERVER DESIGN
Journal of Circuits, Systems, and Computers, Vol. 11, No. 1 (22) 1 16 c World Scientific Publishing Company A SYSTEMATIC PROCEDURE FOR SYNCHRONIZING HYPERCHAOS VIA OBSERVER DESIGN GIUSEPPE GRASSI Dipartimento
More informationINVESTIGATION OF NONLINEAR DYNAMICS IN THE BOOST CONVERTER: EFFECT OF CAPACITANCE VARIATIONS
INVESTIGATION OF NONLINEAR DYNAMICS IN THE BOOST CONVERTER: EFFECT OF CAPACITANCE VARIATIONS T. D. Dongale Computational Electronics and Nanoscience Research Laboratory, School of Nanoscience and Biotechnology,
More informationRECURSIVE CONVOLUTION ALGORITHMS FOR TIME-DOMAIN SIMULATION OF ELECTRONIC CIRCUITS
COMPUTATIONAL METHODS IN SCIENCE AND TECHNOLOGY 7(2), 91-109 (2001) RECURSIVE CONVOLUTION ALGORITHMS FOR TIME-DOMAIN SIMULATION OF ELECTRONIC CIRCUITS GRZEGORZ BLAKIEWICZ 1 AND WŁODZIMIERZ JANKE 2 1 Techn.
More informationarxiv: v1 [nlin.ao] 16 Jul 2017
arxiv:1707.05676v1 [nlin.ao] 16 Jul 017 Andronov Hopf ifurcation with and without parameter in a cuic memristor oscillator with a line of equiliria Ivan A. Korneev 1 1, a) and Vladimir V. Semenov Department
More informationElectromagnetic Oscillations and Alternating Current. 1. Electromagnetic oscillations and LC circuit 2. Alternating Current 3.
Electromagnetic Oscillations and Alternating Current 1. Electromagnetic oscillations and LC circuit 2. Alternating Current 3. RLC circuit in AC 1 RL and RC circuits RL RC Charging Discharging I = emf R
More informationFirst Order RC and RL Transient Circuits
First Order R and RL Transient ircuits Objectives To introduce the transients phenomena. To analyze step and natural responses of first order R circuits. To analyze step and natural responses of first
More informationChapter 32. Inductance
Chapter 32 Inductance Joseph Henry 1797 1878 American physicist First director of the Smithsonian Improved design of electromagnet Constructed one of the first motors Discovered self-inductance Unit of
More informationRC, RL, and LCR Circuits
RC, RL, and LCR Circuits EK307 Lab Note: This is a two week lab. Most students complete part A in week one and part B in week two. Introduction: Inductors and capacitors are energy storage devices. They
More information3 The non-linear elements
3.1 Introduction The inductor and the capacitor are the two important passive circuit elements which have the ability to store and deliver finite amount of energy [49]. In an inductor, the energy is stored
More informationExperimental Characterization of Nonlinear Dynamics from Chua s Circuit
Experimental Characterization of Nonlinear Dynamics from Chua s Circuit Patrick Chang, Edward Coyle, John Parker, Majid Sodagar NLD class final presentation 12/04/2012 Outline Introduction Experiment setup
More informationSignals and Systems Chapter 2
Signals and Systems Chapter 2 Continuous-Time Systems Prof. Yasser Mostafa Kadah Overview of Chapter 2 Systems and their classification Linear time-invariant systems System Concept Mathematical transformation
More informationECE2262 Electric Circuit
ECE2262 Electric Circuit Chapter 7: FIRST AND SECOND-ORDER RL AND RC CIRCUITS Response to First-Order RL and RC Circuits Response to Second-Order RL and RC Circuits 1 2 7.1. Introduction 3 4 In dc steady
More information