Chaotic synchronisation using output/full state-feedback polynomial controller

This study presents the synchronisation of two chaotic systems, namely drive and response chaotic systems, using polynomial controllers. Both output and full state-feedback polynomial controllers are proposed, respectively, to drive the system states of the response system to approach those of the drive one. The system stability of the overall system is investigated by the Lyapunov stability theory. Stability conditions in terms of sum of squares (SOS) are derived to aid the design of the feedback gains of the polynomial controllers. By satisfying the SOS-based stability conditions, chaotic synchronisation is achieved with system performance guaranteed by an H∞ performance function. Simulation examples are given to illustrate the merits of the proposed polynomial control approach.

[1]  Kazuo Tanaka,et al.  Guaranteed cost control of polynomial fuzzy systems via a sum of squares approach , 2007, CDC.

[2]  H. Agiza,et al.  Synchronization of Rossler and Chen chaotic dynamical systems using active control , 2001, Physics Letters A.

[3]  Pablo A. Parrilo,et al.  Introducing SOSTOOLS: a general purpose sum of squares programming solver , 2002, Proceedings of the 41st IEEE Conference on Decision and Control, 2002..

[4]  Peter Liu,et al.  Chaotic Control Using Fuzzy Model-Based Methods , 2002, Int. J. Bifurc. Chaos.

[5]  Jun-an Lu,et al.  Synchronization of a unified chaotic system and the application in secure communication , 2002 .

[6]  Guanrong Chen,et al.  From Chaos To Order Methodologies, Perspectives and Applications , 1998 .

[7]  H. Yau,et al.  Chaos synchronization using fuzzy logic controller , 2008 .

[8]  Lilian Huang,et al.  Synchronization of chaotic systems via nonlinear control , 2004 .

[9]  A. Sala,et al.  Stability Analysis of Fuzzy Systems: membership-shape and polynomial approaches , 2008 .

[10]  Ying-Cheng Lai,et al.  Controlling chaos , 1994 .

[11]  Wei Xing Zheng,et al.  Integral-observer-based chaos synchronization , 2006, IEEE Trans. Circuits Syst. II Express Briefs.

[12]  Er-Wei Bai,et al.  Sequential synchronization of two Lorenz systems using active control , 2000 .

[13]  Toshimitsu Ushio Control of chaotic synchronization in composite systems with applications to secure communication systems , 1996 .

[14]  Ji-Chang Lo,et al.  Robust H/sub /spl infin// nonlinear control via fuzzy static output feedback , 2003 .

[15]  Guanrong Chen,et al.  Fuzzy impulsive control of chaotic systems based on TS fuzzy model , 2009 .

[16]  Kazuo Tanaka,et al.  A unified approach to controlling chaos via an LMI-based fuzzy control system design , 1998 .

[17]  J. Daafouz,et al.  An observer-based approach for input-independent global chaos synchronization of discrete-time switched systems , 2003 .

[18]  Ju H. Park,et al.  Controlling chaotic systems via nonlinear feedback control , 2005 .

[19]  Grebogi,et al.  Using chaos to direct trajectories to targets. , 1990, Physical review letters.

[20]  H. Lam Output-feedback synchronization of chaotic systems based on sum-of-squares approach , 2009 .

[21]  Zhi-Hong Guan,et al.  LMI-based fuzzy stability and synchronization of Chen's system , 2003 .