Adaptive mechanism for synchronization of chaotic oscillators with interval time-delays

被引:0
作者
Muhammad Awais Rafique
Muhammad Rehan
Muhammad Siddique
机构
[1] Pakistan Institute of Engineering and Applied Sciences (PIEAS),Department of Electrical Engineering
来源
Nonlinear Dynamics | 2015年 / 81卷
关键词
Chaos synchronization; Adaptive control; Delay-range dependency; gain; Linear matrix inequality;
D O I
暂无
中图分类号
学科分类号
摘要
This paper addresses the adaptive feedback controller design for the synchronization of chaotic systems with interval time-delays in their state vectors by exploiting a lower and an upper bound on time-delays. Simple control and adaptation laws are developed for chaos synchronization, and linear matrix inequalities (LMIs) are derived to ensure asymptotic convergence of the synchronization error between the master–slave systems, using the proposed feedback control strategy, by employing a novel treatment of Lyapunov–Krasovskii functional. Further, the proposed strategy is strengthened by exploiting L2\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$L_2 $$\end{document} stability against disturbances and perturbations and corresponding LMIs for robust adaptive controller synthesis are derived. Furthermore, a novel delay-range-dependent robust adaptive synchronization control approach for dealing with locally Lipschitz non-delayed and delayed nonlinearities in the dynamics of chaotic oscillators is provided by employing an additional adaptation law for the nonlinearities. A numerical simulation example is provided to illustrate effectiveness of the proposed synchronization approach.
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页码:495 / 509
页数:14
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  • [1] Feki M(2003)Secure digital communication using discrete-time chaos synchronization Chaos Solitons Fractals 18 881-890
  • [2] Robert B(2002)Hybrid chaos synchronization and its application in information processing Math. Comput. Model. 35 145-163
  • [3] Gelle G(2012)Chaotic speed synchronization control of multiple induction motors using stator flux regulation IEEE Trans. Magn. 48 4487-4490
  • [4] Colas M(2008) synchronization of time-delayed chaotic systems Appl. Math. Comput. 204 170-177
  • [5] Xie Q(2011)LMI-based robust adaptive synchronization of FitzHugh–Nagumo neurons with unknown parameters under uncertain external electrical stimulation Phys. Lett. A 375 1666-1670
  • [6] Chen G(2008)Adaptive chaos control and synchronization in only locally Lipschitz systems Phys. Lett. A 372 3195-3200
  • [7] Bollt EM(2014)Adaptive impulsive synchronization of uncertain drive-response complex-variable chaotic systems Nonlinear Dyn. 75 209-216
  • [8] Zhang Z(2011)Finite-time synchronization of two different chaotic systems with unknown parameters via sliding mode technique Appl. Math. Model. 35 3080-3091
  • [9] Chau KT(2007)Synchronization of two different chaotic systems with unknown parameters Phys. Lett. A. 361 98-102
  • [10] Wang Z(2013)Robust synchronization of two different fractional-order chaotic systems with unknown parameters using adaptive sliding mode approach Nonlinear Dyn. 71 269-278