Synchronization of Diffusively Coupled Oscillators: Theory and Experiment
|
|
- Preston Eustace Whitehead
- 5 years ago
- Views:
Transcription
1 American Journal of Electrical an Electronic Engineering 2015 Vol 3 No Available online at Science an Eucation Publishing DOI:12691/ajeee Synchronization of Diffusively Couple Oscillators: Theory an Experiment B Nana 1* P Woafo 2 1 Department of Physics Higher Teacher Training College University of Bamena PO Box 39 Bamena Cameroon 2 Laboratory of Moelling an Simulation in Engineering Biomimetics an Prototypes Faculty of Science University of Yaoune I PO Box 812 Yaoune Cameroon *Corresponing author: na1bo@yahoofr Receive February ; Revise March ; Accepte April Abstract In this paper complete synchronization of iffusively couple oscillators is consiere We present the results of both theoretical an experimental investigations of synchronization between two three an four almost ientical oscillators The metho of linear ifference signal has been applie The corresponing ifferential equations have been integrate analytically an the synchronization threshol has been foun Harware experiments have been performe an the measure synchronization error of less than 1% has been etermine Goo agreement is foun between theoretical an experimental results Keywors: Chaos Synchronization Oscillator Cite This Article: B Nana an P Woafo Synchronization of Diffusively Couple Oscillators: Theory an Experiment American Journal of Electrical an Electronic Engineering vol 3 no 2 (2015): 37-3 oi: 12691/ajeee Introuction In the last few years several researchers have focuse their attention on the problems relate to the synchronization of chaotic systems [1-5] Toay the potential of chaos theory is recognize in the worl-wie with research groups actively working on this topic [6-] One of the great achievements of the chaos theory is the application in secure communications The chaos communication funament is the synchronization of two chaotic systems uner suitable conitions if one of the systems is riven by the other Since Pecora an Carrol [11] have emonstrate that chaotic systems can be synchronize the research in synchronization of couple chaotic circuits is carrie out intensively an some interesting applications such as communications with chaos have come out of that research There are several methos for synchronizing chaotic oscillators escribe in literature [12-17] The simplest one employs the feeback in the form of linear ifference u t an the output between the output of the transmitter 1 of the receiver u2 ( t ) The ifference signal K( u2 u1) when applie with a certain weight K > Kmin to an appropriate input of the receiver synchronizes the latter to the transmitter [16] Although there are many papers escribing global synchronization of a network of couple oscillators less attention has been evote to experimental results for biirectional couple systems In this paper attention will be rawn to complete synchronization of two three an four couple chaotic oscillators The remainer of this paper is organize as follows In section 2 we present the use oscillator an stuy its ynamic behavior as a function of control parameter In section 3 synchronization of two three an four iffusively couple oscillators are analyze theoretically Section eals with the experimental setup an where experimental results are compare to the numerical ones Finally conclusions are rawn in section 5 2 Circuit Moel an Description 21 Circuit Moel The circuit iagram of the oscillator is shown in Figure 1 Figure 1 Electronic scheme of the oscillator
2 American Journal of Electrical an Electronic Engineering 38 The circuit is a thir orer nonlinear oscillator containing five operational amplifiers We assume that all the operational amplifiers operate in their linear omain In our moel the ioe acts like non linear component an we moel its voltage-current characteristic with an exponential function namely 0 exp v i I V 1 = (1) 0 where i is the current through the ioe v is the voltage across the ioe I 0 is the inverse saturation current an V 0 26 mv at the room temperature The ynamics of the oscillator is given by the following set of ifferential equations: v1 1 1 = v2 v3 (2) t RC RC v I0 v1 = v1 v2 v3 sinh (3) t RC 1 2 RC 2 2 RC 2 C2 5V0 v3 1 1 = v1+ v2 () t R5C3 R3C3 Introucing the following imensionless variables an parameters v1 v2 v3 1 x = y = z = t = ω0t a = 5V0 5V0 5V0 RC 1 2ω b = c = = (5) RC 2 2ω0 RC 2ω0 RC 3 3ω0 1 where ω0 = an 5VC 0 2 = 2 I0RC 6 1 RC 6 1 we come to the set of ifferential equations convenient for numerical integrations x = y z (6) y = ax by cz sinh x (7) z = x + y (8) ( 2n + 1! ) n! ( n+ 1! ) 2n+ 1 2n 0 = 0 x A x then 2n+ 1 2n ( x N 0 ) A x ( n ) + n ( n+ ) N sinh ( x0) 0 n= 0 2 1! n= 0! 1! () By substituting system (8) an equation (9) in the set of equations (5) (6) an (7) an equating the coefficients of j t e ω j ω t an e separately to zero we obtain the raian frequency of oscillatory orbit by While the amplitue of oscillation is obtaine by solving the following polynomial equation: n= 0 ( 1 ) N 2n A c b r = 0 with r = a+ (11) n! ( n+ 1! ) b+ In view to erive the analytical expression of amplitue A we fixe N = 3 an we obtain the following result: 2 1/3 A = 2 1 9r r+ 9r + 2 ( r r r ) (12) 1/3 1/ This system presents stationary perioic an chaotic attractors epening on the value of the parameters abc The bifurcation iagram as well as the Lyapunov exponent rawn in Figure 2 show that for certain sets of parameters the system exhibits chaotic oscillations We use c as control parameter an other use parameters are the following: a = 35 b = 05 = Dynamic behavior Assuming that in the oscillatory state variables x y an z can be replace by their corresponing virtual orbits x 0 y 0 an z 0 respectively we fin x 0 y 0 an z 0 in the following form: jωt jωt x0 P1cos ωt Q1sin ωt = x0 = Ae + Ae jωt jωt y0 = P2cos ωt Q2sin ωt y0 = Be + Be z0 P3cos ωt Q3sin ωt jωt jωt = z0 = Ce + Ce with (9) A = ( P1+ jq1) B = ( P2 + jq2) C = ( P3 + jq3) Using the above expressions an neglecting the higher harmonics we can show that Figure 2 a) One parameter bifurcation iagram in the ( c x) plane an b) maximal Lyapunov spectrum Lya The bifurcation iagram consists of quasiperioicity chaos winows perio aing sequences an the familiar perio oubling bifurcation sequence intermittency an so on As shown there is a goo agreement between the bifurcation iagram an its corresponing maximal Lyaponov exponent
3 39 American Journal of Electrical an Electronic Engineering 3 Synchronization of Couple Oscillators Recently Woafo an Kraenkel [18] consiere the problem of stability an uration of the synchronization process between classical Van er Pol oscillators an showe that the critical slowing-on behavior of the synchronization time an the bounaries of the synchronization omain can be estimate by analytical investigations The next subsections exten the calculations of Ref [18] to two three an four iffusely couple oscillators Only in our analytical treatment we assume that oscillators have ientical coefficients 31 Synchronization in a Case of two Oscillators Here we aim to etermine the threshol value for synchronization (the minimal value K such that practical synchronization occurs) of two oscillators The two oscillators are iffusely couple with a buffer an a variable resistor R c which give the coupling constant K= ( RCω ) 1 c 1 0 The ynamics of two iffusely couple oscillators can be escribe by the following set of equations: ( ) x j = yj zj + K xi j xj y j = ax j by j z j sh x j z j = x j + y j (13) where inex i an j represent the oscillator number ( i j {12} ) Assuming the three following vectors efine as u1( x1 y1 z 1) u2( x2 y2 z 2) an εε ( 1 ε2 ε2)=u1 u2 the stability of synchronization manifol is ecie by the asymptotic behavior of ε1 = x1 x2 ε2 = y1 y2 an ε3 = z1 z2 At a linear approximation ε1 ε2 an ε 3 obey to ε1 = ε2 ε3 2 Kε1 ε2 = a ch( x1) ε1 b ε2 cε3 ε3 = ε1+ ε2 (1) By replacing the chaotic variable x 1 by its virtual orbit x 0 the ynamics of the synchronization errors is then escribe by the linear system ε1 2K 1 1 ε1 ε = α b c ε 2 2 ε ε 3 with N 2n A α = a ch( x0 ) = a 2 n=0 ( n! ) (15) Using the Lyapunov criteria the synchronization is stable if the real part of all eigenvalues is negative Assuming that λ is the eigenvalue of system (15) then it obeys the following algebraic thir orer equation: ( b 2K ) ( 2Kb c 1) ( c + b + 2 Kc + α ) = λ + + λ + + α + λ+ (16) The etermination of signs of the real parts of the root λ may be carrie out by making use of the Routh- Hurwitz criterion In applying this criterion we fin that the real parts of the roots are negative if b+ 2 K > 0 2Kb + c α + 1 > 0 c + b + 2 Kc + α > 0 (17) 2 2 K b + ( 2b 2α + 2 ) K + ( bc bα α c) > 0 Then the synchronization is sai to be stable if K > K 2 min where the new parameter K 2 min is efine as follow: 2 min = c+ b+α K 2c (18) As shown in Figure 3 the result obtaine from equation (18) is verifie by a irect numerical simulation of system (13) Figure 3 Synchronization bounaries in the case of two couple oscillators Numerically we use the fourth orer Runge Kutta algorithm an we fin the first value of K for which quantity x1 x2 < 005 for t 00 In Figure 3 the numerical result (points an ashe-line) fluctuates aroun the analytic curve (soli line) 32 Synchronization in a Case of three Oscillators In this case the ynamics of three iffusely couple oscillators can be escribe by the following set of equations: ( 1 + 1) x j = yj zj + K xj 2 xj + xj y j = ax j by j z j sh x j z j = x j + y j (19) Inex j (with 1 j 3 ) represents the oscillator number an the two perioic bounary conitions x0 = x 3 an x = x 1 are use Assuming the five following
4 American Journal of Electrical an Electronic Engineering 0 vectors efine as u1( x1 y1 z 1) u2( x2 y2 z 2) u3( x3 y3 z 3) ηη ( 1 η2 η2)= u1 2u2 + u3 an εε ( 1 ε2 ε2)=u1 u3 the stability of synchronization manifol is ecie by the asymptotic behavior of η an ε At a linear approximation the components of η an ε obey to η1 = η2 η3 3 Kη1 η2 = a ch( x1) η1 b η2 cη3 η3 = η1+ η2 ε1 = ε2 ε3 3 Kε1 ε2 = a ch( x1) ε1 b ε2 cε3 ε3 = ε1+ ε2 (20) (21) The form of systems (20) an (21) brings the following comment: the three oscillators fall together in the synchronization Proceeing in the same manner as the above subsection we obtain the synchronization bounary as K > K where 3min 3min = c+ b+α K 3c (22) Figure shows comparison between analytical result (full line) an numerical result (points an ashe-line) Numerically we fin the first value of K for which 05 x x + x x < 005 for t 00 quantity an x5 = x 1 are use Assuming the three following vectors efine as η = ( u + u ) ( u + u ) ε = u u an ξ = u u (2) The stability of synchronization manifol is ecie by the asymptotic behavior of η ε an ξ At a linear approximation the components of η ε an ξ obey to η = M η ε = M ε ξ = M ξ where K 1 1 2K 1 1 (25) M1 = α b c an M2 = α b c c+ b+α Choosing K min = if c Kmin < K <2 Kmin = K 2min the ring falls in the cluster synchronization ( u1 u3 u2 u while u1 u2 ) If K >2K min the complete synchronization ( u1 u2 u3 u ) occurs in the ring To verify our assumption we plot as shown in Figure 5 our analytical result ( 2K min ) as function of c an our numerical result obtaine while recoring the first value of K for which 1 ( ) < x x + x x + x x (ashe lines) Figure Synchronization bounaries in the case of three couple oscillators 33 Synchronization in a Case of four Oscillators Four systems are iffusely couple in a ring structure with a coupling constant K The ynamics of four iffusely couple oscillators can be escribe by the following set of equations: ( 1 + 1) x j = yj zj + K xj 2 xj + xj y j = ax j by j z j sh x j z j = x j + y j (23) Inex j (with 1 j ) represents the oscillator number an the two perioic bounary conitions x0 = x Figure 5 Synchronization bounaries in the case of four couple oscillators Although the cluster omain obtaine analytically is verifie numerically the oscillators lost their chaotic state Experimental an Numerical Results 1 Experimental Setup An experimental setup consisting of a network of four oscillators is shown in Figure 6 The networks of two an three oscillators can be erive from Figure 6 by choosing the suitable connections In the set of equations (13) (19) an (23) the variables x j y j an z j are the voltages across the capacitors C 1 j C 2 j an C 3 j respectively The coupling strength between oscillators is controlle by four variable resistors R cj The circuits are built using (TL082) Operational Amplifiers (BBY0) Dioes
5 1 American Journal of Electrical an Electronic Engineering Capacitances an Resistances The nominal values of the components can be foun in Table 1 Due to the tolerances of the components oscillators are slightly ifferent Therefore synchronization in the sense that u () t u () =0 t is not possible an practical i j synchronization is efine as ui() t uj() t δ with δ 1 Figure 7 Phase portrait of one oscillator before the coupling a) Experimentally obtaine b) Numerically plot Maintaining the same parameters use in Figure 7 we show in Figure 8 the phase portraits ( x 1 x 2 ) to illustrate the absence of synchronization in the system before the coupling Figure 8 Phase portrait in the plane ( x 1 x 2 ) before the coupling a) Experimental result b) Numerical result After setting the coupling we ecrease the values of the resistances R cj to fin experimentally the synchronization omain Table 1 Values of capacitors an resistances use in the overall electronic circuit Resistances ( Ω) First Secon Thir Fourth an Oscillator Oscillator Oscillator Oscillator Capacitances nf =1 =2 =3 j = ( ( j ) ( j ) ( j ) Figure 6 Electronic schematic of overall system 2 Experimental an numerical results Before the coupling Figure 7(a) shows a phase portrait of the first oscillator which correspons to a chaotic phase portrait (Figure 7(b)) obtaine numerically with the following normalize parameters: a 1 = 3522 b 1 = 0513 c 1 = 2511 an 1 = 126 C 1 j C 2 j C 3 j R 1 j R 2 j R 3 j R j R 5 j R 6 j R 7 j R8j R 9j 21 Two Oscillators In this case we fin that for Rcj 00Ω ( j = 12) the system falls in the synchronization Figure 9(a) an 9(b) illustrate the complete synchronization state of the
6 American Journal of Electrical an Electronic Engineering 2 ring for Rc 1 = 3150Ω Rc 2 = 3187 Ω an K 1 = 0813 K 2 = 0815 Another use parameters are the following: a = 3522 b = 0513 c = 2511 = a 2 = = = 2508 b c an 2 = 1266 Figure 9 Phase portraits in the plane ( x 1 x 2 ) illustrating synchronization in the ring of two couple oscillators a) Experimental result b) Numerically plot 22 Three oscillators In the case of three couple oscillators when the coupling resistances satisfy Rcj 298Ω ( j = 123) the ring is in the complete synchronization To prove it we plot in Figure some phase portraits: Figure (a) (resp Figure (c)) represents our experimental result in the plane ( x 1 x 2 ) (resp ( x 1 x 3 )) while Figure (b) (resp Figure ()) is its numerical analogous The coupling resistances are Rc1 = 2372 Ω Rc 2 = 205 Ω Rc3 = 2378 Ω an K 1 = 053 K 2 = 052 K 3 = 055 Other parameters are keep constant: a1 = 3522 b1 = 0513 c 1 = = 126 a 2 = 3518 b 2 = 0517 c 2 = = 1266 a 3 = 3525 b 3 = 0515 c 3 = 2513 an 3 = Four Oscillators Although the analytical stuy foresaw a cluster synchronization the numerical an the experimental stuies showe only a complete synchronization state This is obtain experimentally when Rcj 35Ω ( j = 123) Proceeing as the above subsection we plot in Figure 11 ifferent phase portraits: Figure 11(a) Figure 11(c) an Figure 11(e) represent our experimental results rawn in the planes ( x 1 x 2 ) ( x 1 x 3 ) an ( x 1 x ) respectively while Figure 11 (b) Figure 11 () an Figure 11 (f) are their numerical corresponing These following coupling parameters are use: Rc 1 = 3272Ω Rc1 = 3255 Ω Rc1 = 328 Ω Rc1 = 328 Ω an K 1 = 803 K 2 = 8025 K 3 = 8027 K = 8031 a 1 = 3522 b 1 = 0513 c 1 = = 126 a 2 = 3518 b 2 = 0517 c 2 = = 1266 a3 = 3525 b3 = 0515 c 3 = = 1261 a = 3515 = 0520 = 2511 = 1265 Figure Phase portraits illustrating the complete synchronization in the ring of three couple oscillators a) Experimental result in the plane ( x 1 x 2 ) b) Numerically plot in the plane ( x 1 x 2 ) c) Experimental result in the plane ( x 1 x 3 ) ) Numerically plot in the plane ( x 1 x 3 ) Figure 11 Phase portraits illustrating the complete synchronization in the ring of four couple oscillators a) Experimental result in the plane ( x 1 x 2 ) b) Numerically obtaine in the plane ( x 1 x 2 ) c) Experimental result in the plane ( x 1 x 3 ) ) Numerically obtaine in the plane ( x 1 x 3 ) e) Experimental result in the plane ( x 1 x ) f) Numerically obtaine in the plane ( x 1 x )
7 3 American Journal of Electrical an Electronic Engineering 5 Conclusion In this paper theoretical an experimental complete synchronization of iffusively two three an four couple oscillators are presente With the experimental setup it is impossible to achieve a zero synchronization error ue to the tolerances of the electrical components We obtain that three an four iffusely couple oscillators synchronize or esynchronize together provie initial values are chosen in the vicinity of the synchronization manifol Despite the fact that the single harmonic response give in equation (9) may be questionable the analytical treatment gives a goo inication on the bounary of K for synchronization to be achieve The presente experimental results are qualitative comparable with numerical simulations Acknowlegement This work is supporte by the Acaemy of Sciences for the Developing Worl (TWAS) uner Research grant N RG/PHYS/AF/AC References [1] Ling L an Le M Parameter ientification an synchronization of spatiotemporal chaos in uncertain complex network Nonlinear Dynamics 66 () Dec 2011 [2] Carroll TL an Pecora LM Synchronizing chaotic circuits IEEE Trans Circ Syst 38 (2) Apr 1991 [3] Yu PE an Kuznetsov AP Synchronization of couple van er pole an Kislov-Dmitriev self-oscillators Technical Physics 56 () 35-2 Apr 2011 [] Peng JH Ding EJ Ding M an Yang W Synchronizing hyperchaos with a scalar transmitte signal Phys Rev Lett 76 (6) [5] Nijmeijer H Control of chaos an synchronization Systems an Control Letters 31 (5) Oct 1997 [6] Kenney MP Rovatti R an Setti G Chaotic Electronics in Telecommunications CRC Press USA 2000 [7] Gamal MM Shaban AA an AL-Kashif MA Dynamical properties an chaos synchronization of a new chaotic complex nonlinear system Nonlinear Dynamics Oct 2008 [8] Tanmoy B Debabrata B an Sarkar BC Complete an generalize synchronization of chaos an hyperchaos in a couple first-orer time-elaye system Nonlinear Dynamics 71 (1) Jan 2013 [9] Buric N an Vasovic N Global stability of synchronization between elay-ifferential systems with generalize iffusive Chaos Solitons an Fractals 31 (2) [] Fotsin H an Bowong S Aaptive control an synchronization of chaotic systems consisting of Van er Pol oscillators couple to linear oscillators Chaos Solitons an Fractals 27 3) Apr 2006 [11] Carroll TL an Pecora LM Nonlinear Dynamics in Circuits Worl Scientific Publishing Singapore 1995 [12] Juan C Jun-an L an Xiaoqun W Biirectionally couple synchronization of the generalize Lorenz systems Journal of Systems Science an Complexity 2 (3) 33-8 Jun 2011 [13] Pecora LM an Carroll TL Driving systems with chaotic signals Physl Rev A () Aug 1991 [1] Cuomo KM an Oppenheim AV Circuit implementation of synchronize chaoswith application to communications Phys Rev Lett 71 (1) Jul 1993 [15] Nana B an Woafo P Synchronization in a ring of four mutually couple Van er pol oscillator: Theory an experiment Phys Rev E [16] Yu YH Kwak K Lim TK Synchronization via small continuous feeback Phys Lett A 191 (3) [17] Li-feng Z Xin-lei A an Jian-gang Z A new chaos synchronization scheme an its application to secure communications Nonlinear Dynamics 73 (2) Jan 2013 [18] Woafo P an Kraenkel RK Synchronization stability an uration time Phys Rev E
Generalized-Type Synchronization of Hyperchaotic Oscillators Using a Vector Signal
Commun. Theor. Phys. (Beijing, China) 44 (25) pp. 72 78 c International Acaemic Publishers Vol. 44, No. 1, July 15, 25 Generalize-Type Synchronization of Hyperchaotic Oscillators Using a Vector Signal
More informationA new four-dimensional chaotic system
Chin. Phys. B Vol. 19 No. 12 2010) 120510 A new four-imensional chaotic system Chen Yong ) a)b) an Yang Yun-Qing ) a) a) Shanghai Key Laboratory of Trustworthy Computing East China Normal University Shanghai
More informationDynamic Equations and Nonlinear Dynamics of Cascade Two-Photon Laser
Commun. Theor. Phys. (Beiing, China) 45 (6) pp. 4 48 c International Acaemic Publishers Vol. 45, No. 6, June 5, 6 Dynamic Equations an Nonlinear Dynamics of Cascae Two-Photon Laser XIE Xia,,, HUANG Hong-Bin,
More informationADAPTIVE CHAOS SYNCHRONIZATION OF UNCERTAIN HYPERCHAOTIC LORENZ AND HYPERCHAOTIC LÜ SYSTEMS
ADAPTIVE CHAOS SYNCHRONIZATION OF UNCERTAIN HYPERCHAOTIC LORENZ AND HYPERCHAOTIC LÜ SYSTEMS Sundarapandian Vaidyanathan 1 1 Research and Development Centre, Vel Tech Dr. RR & Dr. SR Technical University
More informationIERCU. Institute of Economic Research, Chuo University 50th Anniversary Special Issues. Discussion Paper No.210
IERCU Institute of Economic Research, Chuo University 50th Anniversary Special Issues Discussion Paper No.210 Discrete an Continuous Dynamics in Nonlinear Monopolies Akio Matsumoto Chuo University Ferenc
More informationA Note on Exact Solutions to Linear Differential Equations by the Matrix Exponential
Avances in Applie Mathematics an Mechanics Av. Appl. Math. Mech. Vol. 1 No. 4 pp. 573-580 DOI: 10.4208/aamm.09-m0946 August 2009 A Note on Exact Solutions to Linear Differential Equations by the Matrix
More informationELEC3114 Control Systems 1
ELEC34 Control Systems Linear Systems - Moelling - Some Issues Session 2, 2007 Introuction Linear systems may be represente in a number of ifferent ways. Figure shows the relationship between various representations.
More informationHYBRID CHAOS SYNCHRONIZATION OF HYPERCHAOTIC LIU AND HYPERCHAOTIC CHEN SYSTEMS BY ACTIVE NONLINEAR CONTROL
HYBRID CHAOS SYNCHRONIZATION OF HYPERCHAOTIC LIU AND HYPERCHAOTIC CHEN SYSTEMS BY ACTIVE NONLINEAR CONTROL Sundarapandian Vaidyanathan 1 1 Research and Development Centre, Vel Tech Dr. RR & Dr. SR Technical
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 informationA Novel Decoupled Iterative Method for Deep-Submicron MOSFET RF Circuit Simulation
A Novel ecouple Iterative Metho for eep-submicron MOSFET RF Circuit Simulation CHUAN-SHENG WANG an YIMING LI epartment of Mathematics, National Tsing Hua University, National Nano evice Laboratories, an
More informationADAPTIVE CONTROL AND SYNCHRONIZATION OF HYPERCHAOTIC NEWTON-LEIPNIK SYSTEM
ADAPTIVE CONTROL AND SYNCHRONIZATION OF HYPERCHAOTIC NEWTON-LEIPNIK SYSTEM Sundarapandian Vaidyanathan 1 1 Research and Development Centre, Vel Tech Dr. RR & Dr. SR Technical University Avadi, Chennai-600
More informationDAMAGE DETECTIONS IN NONLINEAR VIBRATING THERMALLY LOADED STRUCTURES 1
11 th National Congress on Theoretical an Applie Mechanics, 2-5 Sept. 2009, Borovets, Bulgaria DAMAGE DETECTIONS IN NONLINEAR VIBRATING THERMALLY LOADED STRUCTURES 1 E. MANOACH Institute of Mechanics,
More informationDesign A Robust Power System Stabilizer on SMIB Using Lyapunov Theory
Design A Robust Power System Stabilizer on SMIB Using Lyapunov Theory Yin Li, Stuent Member, IEEE, Lingling Fan, Senior Member, IEEE Abstract This paper proposes a robust power system stabilizer (PSS)
More informationDeriving ARX Models for Synchronous Generators
Deriving AR Moels for Synchronous Generators Yangkun u, Stuent Member, IEEE, Zhixin Miao, Senior Member, IEEE, Lingling Fan, Senior Member, IEEE Abstract Parameter ientification of a synchronous generator
More informationPredictive control of synchronous generator: a multiciterial optimization approach
Preictive control of synchronous generator: a multiciterial optimization approach Marián Mrosko, Eva Miklovičová, Ján Murgaš Abstract The paper eals with the preictive control esign for nonlinear systems.
More informationDiagonalization of Matrices Dr. E. Jacobs
Diagonalization of Matrices Dr. E. Jacobs One of the very interesting lessons in this course is how certain algebraic techniques can be use to solve ifferential equations. The purpose of these notes is
More informationLearning in Monopolies with Delayed Price Information
Learning in Monopolies with Delaye Price Information Akio Matsumoto y Chuo University Ferenc Sziarovszky z University of Pécs February 28, 2013 Abstract We call the intercept of the price function with
More informationGLOBAL CHAOS SYNCHRONIZATION OF UNCERTAIN SPROTT J AND K SYSTEMS BY ADAPTIVE CONTROL
GLOBAL CHAOS SYNCHRONIZATION OF UNCERTAIN SPROTT J AND K SYSTEMS BY ADAPTIVE CONTROL Sundarapandian Vaidyanathan 1 1 Research and Development Centre, Vel Tech Dr. RR & Dr. SR Technical University Avadi,
More informationGLOBAL CHAOS SYNCHRONIZATION OF HYPERCHAOTIC QI AND HYPERCHAOTIC JHA SYSTEMS BY ACTIVE NONLINEAR CONTROL
GLOBAL CHAOS SYNCHRONIZATION OF HYPERCHAOTIC QI AND HYPERCHAOTIC JHA SYSTEMS BY ACTIVE NONLINEAR CONTROL Sundarapandian Vaidyanathan 1 1 Research and Development Centre, Vel Tech Dr. RR & Dr. SR Technical
More informationDusty Plasma Void Dynamics in Unmoving and Moving Flows
7 TH EUROPEAN CONFERENCE FOR AERONAUTICS AND SPACE SCIENCES (EUCASS) Dusty Plasma Voi Dynamics in Unmoving an Moving Flows O.V. Kravchenko*, O.A. Azarova**, an T.A. Lapushkina*** *Scientific an Technological
More informationModeling time-varying storage components in PSpice
Moeling time-varying storage components in PSpice Dalibor Biolek, Zenek Kolka, Viera Biolkova Dept. of EE, FMT, University of Defence Brno, Czech Republic Dept. of Microelectronics/Raioelectronics, FEEC,
More informationDYNAMIC PERFORMANCE OF RELUCTANCE SYNCHRONOUS MACHINES
Annals of the University of Craiova, Electrical Engineering series, No 33, 9; ISSN 184-485 7 TH INTERNATIONAL CONFERENCE ON ELECTROMECHANICAL AN POWER SYSTEMS October 8-9, 9 - Iaşi, Romania YNAMIC PERFORMANCE
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 informationEXACT TRAVELING WAVE SOLUTIONS FOR A NEW NON-LINEAR HEAT TRANSFER EQUATION
THERMAL SCIENCE, Year 017, Vol. 1, No. 4, pp. 1833-1838 1833 EXACT TRAVELING WAVE SOLUTIONS FOR A NEW NON-LINEAR HEAT TRANSFER EQUATION by Feng GAO a,b, Xiao-Jun YANG a,b,* c, an Yu-Feng ZHANG a School
More informationNumerical Simulations in Jerk Circuit and It s Application in a Secure Communication System
Numerical Simulations in Jerk Circuit and It s Application in a Secure Communication System A. SAMBAS, M. SANJAYA WS, M. MAMAT, N. V. KARADIMAS, O. TACHA Bolabot Techno Robotic School, Sanjaya Star Group
More informationAnalysis of a Fractional Order Prey-Predator Model (3-Species)
Global Journal of Computational Science an Mathematics. ISSN 48-9908 Volume 5, Number (06), pp. -9 Research Inia Publications http://www.ripublication.com Analysis of a Fractional Orer Prey-Preator Moel
More informationSemiclassical analysis of long-wavelength multiphoton processes: The Rydberg atom
PHYSICAL REVIEW A 69, 063409 (2004) Semiclassical analysis of long-wavelength multiphoton processes: The Ryberg atom Luz V. Vela-Arevalo* an Ronal F. Fox Center for Nonlinear Sciences an School of Physics,
More informationADAPTIVE STABILIZATION AND SYNCHRONIZATION OF HYPERCHAOTIC QI SYSTEM
ADAPTIVE STABILIZATION AND SYNCHRONIZATION OF HYPERCHAOTIC QI SYSTEM Sundarapandian Vaidyanathan 1 1 Research and Development Centre, Vel Tech Dr. RR Dr. SR Technical University Avadi, Chennai-600 062,
More informationADAPTIVE CHAOS CONTROL AND SYNCHRONIZATION OF HYPERCHAOTIC LIU SYSTEM
International Journal o Computer Science, Engineering and Inormation Technology (IJCSEIT), Vol.1, No., June 011 ADAPTIVE CHAOS CONTROL AND SYNCHRONIZATION OF HYPERCHAOTIC LIU SYSTEM Sundarapandian Vaidyanathan
More informationMathematical Review Problems
Fall 6 Louis Scuiero Mathematical Review Problems I. Polynomial Equations an Graphs (Barrante--Chap. ). First egree equation an graph y f() x mx b where m is the slope of the line an b is the line's intercept
More informationThermal Modulation of Rayleigh-Benard Convection
Thermal Moulation of Rayleigh-Benar Convection B. S. Bhaauria Department of Mathematics an Statistics, Jai Narain Vyas University, Johpur, Inia-3400 Reprint requests to Dr. B. S.; E-mail: bsbhaauria@reiffmail.com
More informationAn M/G/1 Retrial Queue with Priority, Balking and Feedback Customers
Journal of Convergence Information Technology Volume 5 Number April 1 An M/G/1 Retrial Queue with Priority Balking an Feeback Customers Peishu Chen * 1 Yiuan Zhu 1 * 1 Faculty of Science Jiangsu University
More informationConservation laws a simple application to the telegraph equation
J Comput Electron 2008 7: 47 51 DOI 10.1007/s10825-008-0250-2 Conservation laws a simple application to the telegraph equation Uwe Norbrock Reinhol Kienzler Publishe online: 1 May 2008 Springer Scienceusiness
More informationPES 1120 Spring 2014, Spendier Lecture 36/Page 1
PES 0 Spring 04, Spenier ecture 36/Page Toay: chapter 3 - R circuits: Dampe Oscillation - Driven series R circuit - HW 9 ue Wenesay - FQs Wenesay ast time you stuie the circuit (no resistance) The total
More informationOptimal operating strategies for semi-batch reactor used for chromium sludge regeneration process
Latest Trens in Circuits, Automatic Control an Signal Processing Optimal operating strategies for semi-batch reactor use for chromium sluge regeneration process NOOSAD DAID, MACKŮ LUBOMÍR Tomas Bata University
More informationAn inductance lookup table application for analysis of reluctance stepper motor model
ARCHIVES OF ELECTRICAL ENGINEERING VOL. 60(), pp. 5- (0) DOI 0.478/ v07-0-000-y An inuctance lookup table application for analysis of reluctance stepper motor moel JAKUB BERNAT, JAKUB KOŁOTA, SŁAWOMIR
More informationGlobal Chaos Synchronization of Hyperchaotic Lorenz and Hyperchaotic Chen Systems by Adaptive Control
Global Chaos Synchronization of Hyperchaotic Lorenz and Hyperchaotic Chen Systems by Adaptive Control Dr. V. Sundarapandian Professor, Research and Development Centre Vel Tech Dr. RR & Dr. SR Technical
More informationJ. Electrical Systems 11-4 (2015): Regular paper
Chuansheng ang,*, Hongwei iu, Yuehong Dai Regular paper Robust Optimal Control of Chaos in Permanent Magnet Synchronous Motor with Unknown Parameters JES Journal of Electrical Systems his paper focuses
More informationDynamical Systems and a Brief Introduction to Ergodic Theory
Dynamical Systems an a Brief Introuction to Ergoic Theory Leo Baran Spring 2014 Abstract This paper explores ynamical systems of ifferent types an orers, culminating in an examination of the properties
More informationChaos synchronization of complex Rössler system
Appl. Math. Inf. Sci. 7, No. 4, 1415-1420 (2013) 1415 Applied Mathematics & Information Sciences An International Journal http://dx.doi.org/10.12785/amis/070420 Chaos synchronization of complex Rössler
More informationAlpha Particle scattering
Introuction Alpha Particle scattering Revise Jan. 11, 014 In this lab you will stuy the interaction of α-particles ( 4 He) with matter, in particular energy loss an elastic scattering from a gol target
More informationA Comparison between a Conventional Power System Stabilizer (PSS) and Novel PSS Based on Feedback Linearization Technique
J. Basic. Appl. Sci. Res., ()9-99,, TextRoa Publication ISSN 9-434 Journal of Basic an Applie Scientific Research www.textroa.com A Comparison between a Conventional Power System Stabilizer (PSS) an Novel
More informationRETROGRADE WAVES IN THE COCHLEA
August 7, 28 18:2 WSPC - Proceeings Trim Size: 9.75in x 6.5in retro wave 1 RETROGRADE WAVES IN THE COCHLEA S. T. NEELY Boys Town National Research Hospital, Omaha, Nebraska 68131, USA E-mail: neely@boystown.org
More informationLaplace s Equation in Cylindrical Coordinates and Bessel s Equation (II)
Laplace s Equation in Cylinrical Coorinates an Bessel s Equation (II Qualitative properties of Bessel functions of first an secon kin In the last lecture we foun the expression for the general solution
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 informationHarmonic Modelling of Thyristor Bridges using a Simplified Time Domain Method
1 Harmonic Moelling of Thyristor Briges using a Simplifie Time Domain Metho P. W. Lehn, Senior Member IEEE, an G. Ebner Abstract The paper presents time omain methos for harmonic analysis of a 6-pulse
More informationOPTICAL MODES IN PT-SYMMETRIC DOUBLE-CHANNEL WAVEGUIDES
THE PUBLISHING HOUSE PROCEEDINGS OF THE ROMANIAN ACADEMY, Series A, OF THE ROMANIAN ACADEMY Volume 3, Number /, pp. 46 54 OPTICAL MODES IN PT-SYMMETRIC DOUBLE-CHANNEL WAVEGUIDES Li CHEN, Rujiang LI, Na
More informationChaos, Solitons and Fractals
Chaos, Solitons an Fractals xxx (00) xxx xxx Contents lists available at ScienceDirect Chaos, Solitons an Fractals journal homepage: www.elsevier.com/locate/chaos Impulsive stability of chaotic systems
More informationOrdinary Differential Equations: Homework 1
Orinary Differential Equations: Homework 1 M. Gameiro, J.-P. Lessar, J.D. Mireles James, K. Mischaikow January 12, 2017 2 Chapter 1 Motivation 1.1 Exercises Exercise 1.1.1. (Frictionless spring) Consier
More informationECE 422 Power System Operations & Planning 7 Transient Stability
ECE 4 Power System Operations & Planning 7 Transient Stability Spring 5 Instructor: Kai Sun References Saaat s Chapter.5 ~. EPRI Tutorial s Chapter 7 Kunur s Chapter 3 Transient Stability The ability of
More informationMath 342 Partial Differential Equations «Viktor Grigoryan
Math 342 Partial Differential Equations «Viktor Grigoryan 6 Wave equation: solution In this lecture we will solve the wave equation on the entire real line x R. This correspons to a string of infinite
More informationSensors & Transducers 2015 by IFSA Publishing, S. L.
Sensors & Transucers, Vol. 184, Issue 1, January 15, pp. 53-59 Sensors & Transucers 15 by IFSA Publishing, S. L. http://www.sensorsportal.com Non-invasive an Locally Resolve Measurement of Soun Velocity
More informationWitten s Proof of Morse Inequalities
Witten s Proof of Morse Inequalities by Igor Prokhorenkov Let M be a smooth, compact, oriente manifol with imension n. A Morse function is a smooth function f : M R such that all of its critical points
More informationDynamical Behavior And Synchronization Of Chaotic Chemical Reactors Model
Iranian Journal of Mathematical Chemistry, Vol. 6, No. 1, March 2015, pp. 81 92 IJMC Dynamical Behavior And Synchronization Of Chaotic Chemical Reactors Model HOSSEIN KHEIRI 1 AND BASHIR NADERI 2 1 Faculty
More informationComputers and Mathematics with Applications. Adaptive anti-synchronization of chaotic systems with fully unknown parameters
Computers and Mathematics with Applications 59 (21) 3234 3244 Contents lists available at ScienceDirect Computers and Mathematics with Applications journal homepage: www.elsevier.com/locate/camwa Adaptive
More informationGLOBAL SOLUTIONS FOR 2D COUPLED BURGERS-COMPLEX-GINZBURG-LANDAU EQUATIONS
Electronic Journal of Differential Equations, Vol. 015 015), No. 99, pp. 1 14. ISSN: 107-6691. URL: http://eje.math.txstate.eu or http://eje.math.unt.eu ftp eje.math.txstate.eu GLOBAL SOLUTIONS FOR D COUPLED
More informationInvestigation of local load effect on damping characteristics of synchronous generator using transfer-function block-diagram model
ORIGINAL ARTICLE Investigation of local loa effect on amping characteristics of synchronous generator using transfer-function block-iagram moel Pichai Aree Abstract of synchronous generator using transfer-function
More information19 Eigenvalues, Eigenvectors, Ordinary Differential Equations, and Control
19 Eigenvalues, Eigenvectors, Orinary Differential Equations, an Control This section introuces eigenvalues an eigenvectors of a matrix, an iscusses the role of the eigenvalues in etermining the behavior
More informationSYNCHRONOUS SEQUENTIAL CIRCUITS
CHAPTER SYNCHRONOUS SEUENTIAL CIRCUITS Registers an counters, two very common synchronous sequential circuits, are introuce in this chapter. Register is a igital circuit for storing information. Contents
More informationIndirect Adaptive Fuzzy and Impulsive Control of Nonlinear Systems
International Journal of Automation an Computing 7(4), November 200, 484-49 DOI: 0007/s633-00-053-7 Inirect Aaptive Fuzzy an Impulsive Control of Nonlinear Systems Hai-Bo Jiang School of Mathematics, Yancheng
More informationTHE ACTIVE CONTROLLER DESIGN FOR ACHIEVING GENERALIZED PROJECTIVE SYNCHRONIZATION OF HYPERCHAOTIC LÜ AND HYPERCHAOTIC CAI SYSTEMS
THE ACTIVE CONTROLLER DESIGN FOR ACHIEVING GENERALIZED PROJECTIVE SYNCHRONIZATION OF HYPERCHAOTIC LÜ AND HYPERCHAOTIC CAI SYSTEMS Sarasu Pakiriswamy 1 and Sundarapandian Vaidyanathan 1 1 Department of
More informationChapter 31: RLC Circuits. PHY2049: Chapter 31 1
Chapter 31: RLC Circuits PHY049: Chapter 31 1 LC Oscillations Conservation of energy Topics Dampe oscillations in RLC circuits Energy loss AC current RMS quantities Force oscillations Resistance, reactance,
More information18 EVEN MORE CALCULUS
8 EVEN MORE CALCULUS Chapter 8 Even More Calculus Objectives After stuing this chapter you shoul be able to ifferentiate an integrate basic trigonometric functions; unerstan how to calculate rates of change;
More informationThe derivative of a function f(x) is another function, defined in terms of a limiting expression: f(x + δx) f(x)
Y. D. Chong (2016) MH2801: Complex Methos for the Sciences 1. Derivatives The erivative of a function f(x) is another function, efine in terms of a limiting expression: f (x) f (x) lim x δx 0 f(x + δx)
More informationThree-Variable Bracket Polynomial for Two-Bridge Knots
Three-Variable Bracket Polynomial for Two-Brige Knots Matthew Overuin Research Experience for Unergrauates California State University, San Bernarino San Bernarino, CA 92407 August 23, 2013 Abstract In
More informationThe Efficiency Optimization of Permanent Magnet Synchronous Machine DTC for Electric Vehicles Applications Based on Loss Model
International Power, Electronics an Materials Engineering Conference (IPEMEC 015) The Efficiency Optimization of Permanent Magnet Synchronous Machine DTC for Electric Vehicles Applications Base on Loss
More information6.003 Homework #7 Solutions
6.003 Homework #7 Solutions Problems. Secon-orer systems The impulse response of a secon-orer CT system has the form h(t) = e σt cos(ω t + φ)u(t) where the parameters σ, ω, an φ are relate to the parameters
More informationThe canonical controllers and regular interconnection
Systems & Control Letters ( www.elsevier.com/locate/sysconle The canonical controllers an regular interconnection A.A. Julius a,, J.C. Willems b, M.N. Belur c, H.L. Trentelman a Department of Applie Mathematics,
More informationRole of parameters in the stochastic dynamics of a stick-slip oscillator
Proceeing Series of the Brazilian Society of Applie an Computational Mathematics, v. 6, n. 1, 218. Trabalho apresentao no XXXVII CNMAC, S.J. os Campos - SP, 217. Proceeing Series of the Brazilian Society
More informationu t v t v t c a u t b a v t u t v t b a
Nonlinear Dynamical Systems In orer to iscuss nonlinear ynamical systems, we must first consier linear ynamical systems. Linear ynamical systems are just systems of linear equations like we have been stuying
More informationChapter 2 Lagrangian Modeling
Chapter 2 Lagrangian Moeling The basic laws of physics are use to moel every system whether it is electrical, mechanical, hyraulic, or any other energy omain. In mechanics, Newton s laws of motion provie
More informationHow the potentials in different gauges yield the same retarded electric and magnetic fields
How the potentials in ifferent gauges yiel the same retare electric an magnetic fiels José A. Heras a Departamento e Física, E. S. F. M., Instituto Politécnico Nacional, México D. F. México an Department
More informationADAPTIVE CONTROLLER DESIGN FOR THE ANTI-SYNCHRONIZATION OF HYPERCHAOTIC YANG AND HYPERCHAOTIC PANG SYSTEMS
ADAPTIVE CONTROLLER DESIGN FOR THE ANTI-SYNCHRONIZATION OF HYPERCHAOTIC YANG AND HYPERCHAOTIC PANG SYSTEMS Sundarapandian Vaidyanathan 1 1 Research and Development Centre, Vel Tech Dr. RR & Dr. SR Technical
More informationDifferentiability, Computing Derivatives, Trig Review
Unit #3 : Differentiability, Computing Derivatives, Trig Review Goals: Determine when a function is ifferentiable at a point Relate the erivative graph to the the graph of an original function Compute
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 informationApplication of the homotopy perturbation method to a magneto-elastico-viscous fluid along a semi-infinite plate
Freun Publishing House Lt., International Journal of Nonlinear Sciences & Numerical Simulation, (9), -, 9 Application of the homotopy perturbation metho to a magneto-elastico-viscous flui along a semi-infinite
More informationSlide10 Haykin Chapter 14: Neurodynamics (3rd Ed. Chapter 13)
Slie10 Haykin Chapter 14: Neuroynamics (3r E. Chapter 13) CPSC 636-600 Instructor: Yoonsuck Choe Spring 2012 Neural Networks with Temporal Behavior Inclusion of feeback gives temporal characteristics to
More informationTHE VAN KAMPEN EXPANSION FOR LINKED DUFFING LINEAR OSCILLATORS EXCITED BY COLORED NOISE
Journal of Soun an Vibration (1996) 191(3), 397 414 THE VAN KAMPEN EXPANSION FOR LINKED DUFFING LINEAR OSCILLATORS EXCITED BY COLORED NOISE E. M. WEINSTEIN Galaxy Scientific Corporation, 2500 English Creek
More informationDynamics of the synchronous machine
ELEC0047 - Power system ynamics, control an stability Dynamics of the synchronous machine Thierry Van Cutsem t.vancutsem@ulg.ac.be www.montefiore.ulg.ac.be/~vct These slies follow those presente in course
More informationExponential asymptotic property of a parallel repairable system with warm standby under common-cause failure
J. Math. Anal. Appl. 341 (28) 457 466 www.elsevier.com/locate/jmaa Exponential asymptotic property of a parallel repairable system with warm stanby uner common-cause failure Zifei Shen, Xiaoxiao Hu, Weifeng
More informationSimple Electromagnetic Motor Model for Torsional Analysis of Variable Speed Drives with an Induction Motor
DOI: 10.24352/UB.OVGU-2017-110 TECHNISCHE MECHANIK, 37, 2-5, (2017), 347-357 submitte: June 15, 2017 Simple Electromagnetic Motor Moel for Torsional Analysis of Variable Spee Drives with an Inuction Motor
More information3. Controlling the time delay hyper chaotic Lorenz system via back stepping control
ISSN 1746-7659, England, UK Journal of Information and Computing Science Vol 10, No 2, 2015, pp 148-153 Chaos control of hyper chaotic delay Lorenz system via back stepping method Hanping Chen 1 Xuerong
More informationEE 330 Lecture 12. Devices in Semiconductor Processes. Diodes
EE 330 Lecture 12 evices in Semiconuctor Processes ioes Review from Last Lecture http://www.ayah.com/perioic/mages/perioic%20table.png Review from Last Lecture Review from Last Lecture Silicon opants in
More information. ISSN (print), (online) International Journal of Nonlinear Science Vol.6(2008) No.3,pp
. ISSN 1749-3889 (print), 1749-3897 (online) International Journal of Nonlinear Science Vol.6(8) No.3,pp.195-1 A Bouneness Criterion for Fourth Orer Nonlinear Orinary Differential Equations with Delay
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 informationExperimental Robustness Study of a Second-Order Sliding Mode Controller
Experimental Robustness Stuy of a Secon-Orer Sliing Moe Controller Anré Blom, Bram e Jager Einhoven University of Technology Department of Mechanical Engineering P.O. Box 513, 5600 MB Einhoven, The Netherlans
More informationExperimental Determination of Mechanical Parameters in Sensorless Vector-Controlled Induction Motor Drive
Experimental Determination of Mechanical Parameters in Sensorless Vector-Controlle Inuction Motor Drive V. S. S. Pavan Kumar Hari, Avanish Tripathi 2 an G.Narayanan 3 Department of Electrical Engineering,
More informationDifferentiability, Computing Derivatives, Trig Review. Goals:
Secants vs. Derivatives - Unit #3 : Goals: Differentiability, Computing Derivatives, Trig Review Determine when a function is ifferentiable at a point Relate the erivative graph to the the graph of an
More informationarxiv: v1 [math.ds] 21 Sep 2017
UNBOUNDED AND BLOW-UP SOLUTIONS FOR A DELAY LOGISTIC EQUATION WITH POSITIVE FEEDBACK arxiv:709.07295v [math.ds] 2 Sep 207 ISTVÁN GYŐRI, YUKIHIKO NAKATA, AND GERGELY RÖST Abstract. We stuy boune, unboune
More informationFET Inrush Protection
FET Inrush Protection Chris Pavlina https://semianalog.com 2015-11-23 CC0 1.0 Universal Abstract It is possible to use a simple one-transistor FET circuit to provie inrush protection for low voltage DC
More informationHomework 7 Due 18 November at 6:00 pm
Homework 7 Due 18 November at 6:00 pm 1. Maxwell s Equations Quasi-statics o a An air core, N turn, cylinrical solenoi of length an raius a, carries a current I Io cos t. a. Using Ampere s Law, etermine
More informationChaos synchronization of nonlinear Bloch equations
Chaos, Solitons and Fractal7 (26) 357 361 www.elsevier.com/locate/chaos Chaos synchronization of nonlinear Bloch equations Ju H. Park * Robust Control and Nonlinear Dynamics Laboratory, Department of Electrical
More informationAverage value of position for the anharmonic oscillator: Classical versus quantum results
verage value of position for the anharmonic oscillator: Classical versus quantum results R. W. Robinett Department of Physics, The Pennsylvania State University, University Park, Pennsylvania 682 Receive
More informationGeneralized projective synchronization of a class of chaotic (hyperchaotic) systems with uncertain parameters
Vol 16 No 5, May 2007 c 2007 Chin. Phys. Soc. 1009-1963/2007/16(05)/1246-06 Chinese Physics and IOP Publishing Ltd Generalized projective synchronization of a class of chaotic (hyperchaotic) systems with
More informationLectures - Week 10 Introduction to Ordinary Differential Equations (ODES) First Order Linear ODEs
Lectures - Week 10 Introuction to Orinary Differential Equations (ODES) First Orer Linear ODEs When stuying ODEs we are consiering functions of one inepenent variable, e.g., f(x), where x is the inepenent
More informationMath Notes on differentials, the Chain Rule, gradients, directional derivative, and normal vectors
Math 18.02 Notes on ifferentials, the Chain Rule, graients, irectional erivative, an normal vectors Tangent plane an linear approximation We efine the partial erivatives of f( xy, ) as follows: f f( x+
More information4. Important theorems in quantum mechanics
TFY4215 Kjemisk fysikk og kvantemekanikk - Tillegg 4 1 TILLEGG 4 4. Important theorems in quantum mechanics Before attacking three-imensional potentials in the next chapter, we shall in chapter 4 of this
More informationDetermine Power Transfer Limits of An SMIB System through Linear System Analysis with Nonlinear Simulation Validation
Determine Power Transfer Limits of An SMIB System through Linear System Analysis with Nonlinear Simulation Valiation Yin Li, Stuent Member, IEEE, Lingling Fan, Senior Member, IEEE Abstract This paper extens
More informationLie symmetry and Mei conservation law of continuum system
Chin. Phys. B Vol. 20, No. 2 20 020 Lie symmetry an Mei conservation law of continuum system Shi Shen-Yang an Fu Jing-Li Department of Physics, Zhejiang Sci-Tech University, Hangzhou 3008, China Receive
More information'HVLJQ &RQVLGHUDWLRQ LQ 0DWHULDO 6HOHFWLRQ 'HVLJQ 6HQVLWLYLW\,1752'8&7,21
Large amping in a structural material may be either esirable or unesirable, epening on the engineering application at han. For example, amping is a esirable property to the esigner concerne with limiting
More information