Abstract
This paper proposes a coupled-circuit system composed of two Chua’s circuits with lossless transmission lines. By applying the Kirchhoff’s voltage and current laws, the equations that describe the coupled-circuit system are reduced to two coupled neutral-type differential equations with a time delay. Subsequently, the conditions for global stability are established using the inequality technology, and those for local stability and Hopf bifurcation are obtained by selecting the length of the transmission line as the bifurcation parameter. By using the normal-form theory and central manifold theorem, the formulas for the Hopf bifurcation direction and bifurcation periodic solution are obtained. Finally, the numerical simulations not only verify the theoretical analysis but also show that chaos exists near the Hopf bifurcation point.
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The data used to support the findings of this study are included in this article.
References
A. Ahamed, M. Lakshmanan, Discontinuity induced Hopf and Neimark–Sacker bifurcations in a memristive Murali–Lakshmanan–Chua circuit. Int. J. Bifurc. Chaos 27(06), 1730021 (2017)
Ö. Atan, Effects of variable-order passive circuit element in Chua circuit. Circuits Syst. Signal Process. 30(11), 4943–4968 (2019)
V. Arnold, Lectures on partial differential equations (Springer, Berlin, 2013)
B. Bao, T. Jiang, G. Wang et al., Two-memristor-based Chua’s hyperchaotic circuit with plane equilibrium and its extreme multistability. Nonlinear Dyn. 89(2), 1157–1171 (2017)
B. Bao, P. Jiang, H. Wu et al., Complex transient dynamics in periodically forced memristive Chua’s circuit. Nonlinear Dyn. 79(4), 2333–2343 (2015)
M. Borah, P. Singh, B. Roy, Improved chaotic dynamics of a fractional-order system, its chaos-suppressed synchronization and circuit implementation. Circuits Syst. Signal Process. 35(6), 1871–1907 (2016)
M. Chen, Q. Xu, Y. Lin et al., Multistability induced by two symmetric stable node-foci in modified canonical Chua’s circuit. Nonlinear Dyn. 87(2), 789–802 (2017)
S.S. De Sarkar, S. Chakraborty, Nonlinear dynamics of a class of derivative controlled Chua’s circuit. Int. J. Dyn. Control 6(2), 827–834 (2018)
T. Dong, Q. Zhang, Dynamics of a hybrid circuit system with lossless transmission line. IEEE Access 8, 92969–92976 (2020)
T. Dong, T. Huang, Neural cryptography based on complex-valued neural network. IEEE Trans. Neural Netw. Learn. Syst. (2019). https://doi.org/10.1109/TNNLS.2019.2955165
T. Dong, A. Wang, X. Liao, Impact of discontinuous antivirus strategy in a computer virus model with the point to group. Appl. Math. Model. 40(4), 3400–3409 (2016)
T. Dong, Q. Zhang, Stability and oscillation analysis of a gene regulatory network with multiple time delays and diffusion rate. IEEE Trans. Nanobiosci. 19, 285–298 (2020)
T. Dong, L. Xia, Stability and Hopf bifurcation of a reaction–diffusion neutral neuron system with time delay. Int. J. Bifurc. Chaos 27(14), 1750214 (2017)
T. Dong, L. Xia, Spatial temporal dynamic of a coupled reaction-diffusion neural network with time delay. Cogn. Comput. 11(2), 212–226 (2019)
R. Euzébio, J. Llibre, Zero-Hopf bifurcation in a Chua system. Nonlinear Anal. Real World Appl. 37, 31–40 (2017)
Q. He, Y. Pu, B. Yu, X. Yuan, Scaling fractal-chuan fractance approximation circuits of arbitrary order. Circuits Syst. Signal Process. 38(11), 4933–4958 (2019)
J. Hale, S.M.V. Lunel, Introduction to functional differential equations. Appl. Math. Sci. (1933)
X. Hu, J. Xia, Z. Wang, X. Song, H. Shen, Robust distributed state estimation for Markov coupled neural networks under imperfect measurements. J. Franklin Inst. 357(1), 2420–2436 (2020)
B. Hassard, N. Kazarinoff, Y. Wan, Theory and applications of Hopf bifurcation (Cambridge University Press, Cambridge, 1981)
J. Jin, L.V. Zhao, Low voltage low power fully integrated chaos generator. J. Circuits Syst. Comput. 27(10), 1850155 (2018)
E. Kengne, A. Lakhssassi, Analytical study of dynamics of matter-wave solitons in lossless nonlinear discrete bi-inductance transmission lines. Phys. Rev. E 91(3), 032907 (2015)
X. Liao, Dynamical behavior of Chua’s circuit with lossless transmission line. IEEE Trans. Circuits Syst. I Regul. Pap. 63(10), 781–783 (2016)
Q. Liu, X. Liao, Y. Liu et al., Dynamics of an inertial two-neuron system with time delay. Nonlinear Dyn. 58(3), 573 (2009)
A.N. Sharkovsky, Chaos from a time-delayed Chua’s circuit. IEEE Trans. Circuits Syst. I Fundam. Theory Appl. 40(10), 781–783 (1993)
W.S. Sayed, A.G. Radwan, H.A.H. Fahmy et al., Software and hardware implementation sensitivity of chaotic systems and impact on encryption applications. Circuits Syst. Signal Process. 39, 5638–5655 (2020)
S. Shahsavari, M. Saberi, A power-efficient CMOS active rectifier with circuit delay compensation for wireless power transfer systems. Circuits Syst. Signal Process. 38(2), 947–966 (2019)
C. Shen, S. Yu, J. Lü et al., A systematic methodology for constructing hyperchaotic systems with multiple positive Lyapunov exponents and circuit implementation. IEEE Trans. Circuits Syst. I Regul. Pap. 61(3), 854–864 (2013)
N. Stankevich, N. Kuznetsov, G. Leonov et al., Scenario of the birth of hidden attractors in the Chua circuit. Int. J. Bifurc. Chaos 27(12), 1730038 (2017)
Z. Taskiran, U. Ayten, H. Sedef, Dual-output operational transconductance amplifier-based electronically controllable memristance simulator circuit. Circuits Syst. Signal Process. 38(2), 26–40 (2019)
C. Wang, J. Wei, Normal forms for NFDEs with parameters and application to the lossless transmission line. Nonlinear Dyn. 52(3), 199–206 (2008)
A. Wang, T. Dong, X. Liao, Event-triggered synchronization strategy for complex dynamical networks with the Markovian switching topologies. Neural Netw. 74, 52–57 (2016)
Q. Xu, Y. Lin, B. Bao et al., Multiple attractors in a non-ideal active voltage-controlled memristor based Chua’s circuit. Chaos, Solitons Fractals 83, 186–200 (2016)
W. Yu, J. Cao, Hopf bifurcation and stability of periodic solutions for van der Pol equation with time delay. Nonlinear Anal. Theory Methods Appl. 62(1), 141–165 (2005)
J. Zhang, X. Liao, Synchronization and chaos in coupled memristor-based FitzHugh–Nagumo circuits with memristor synapse. AEU-Int. J. Electron. Commun. 75, 82–90 (2017)
C. Zheng, T. Fernando, Analysis and generation of chaos using compositely connected coupled memristors. Chaos Interdiscip. J. Nonlinear Sci. 28(6), 063115 (2018)
Acknowledgements
This work was supported in part by the National Key Research and Development Project of China under Grant 2018AAA0100101, in part by Fundamental Research Funds for the Central Universities under Grant XDJK2020B009, in part by the Chongqing Technological Innovation and Application Project under Grant cstc2018jszx-cyzdX0171, in part by Chongqing Basic and Frontier Research Project under Grant cstc2019jcyj-msxm2105 and cstc2020jcyj-msxmX0139, in part by the Science and Technology Research Program of Chongqing Municipal Education Commission under Grant KJQN201900816, in part by Chongqing Social Science Planning Project under Grant 2019BS053.
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Dong, T., Wang, A. & Qiao, X. Dynamics of a Coupled Chua’s Circuit with Lossless Transmission Line. Circuits Syst Signal Process 40, 1962–1985 (2021). https://doi.org/10.1007/s00034-020-01563-y
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DOI: https://doi.org/10.1007/s00034-020-01563-y