Research on a novel kind of robust terminal sliding mode synchronization of chaotic systems

Abstract To improve the synchronization speed and reduce the convergence time, a novel kind of terminal sliding mode surface was proposed and applied in the synchronization of chaotic systems. The stability of the new terminal sliding mode was proved by Lyapunov stability theorem. The new terminal sliding mode surface was constructed by high order nonlinear function of state and its derivative, so it can provide a special convergence characteristic. Based on the above new sliding mode surface, a kind of robust synchronization strategy was designed to solve the problem that how to use two active input to realized synchronization of three chaotic states .At last, detailed numerical simulation were done to testify the rightness and effectiveness of the proposed method. Also the robustness was testified by increasing control coefficients ten times but the synchronization was still stable.

[1]  D. J. Cannon,et al.  A simplified adaptive robust backstepping approach using sliding modes and a z-swapping identifier , 2003, Proceedings of the 2003 American Control Conference, 2003..

[2]  Chun-Mei Yang,et al.  A Detailed Study of Adaptive Control of Chaotic Systems with Unknown Parameters , 1998 .

[3]  Yongjian Liu,et al.  Circuit implementation and finite-time synchronization of the 4D Rabinovich hyperchaotic system , 2011, Nonlinear Dynamics.

[4]  Fu Shi-Hui,et al.  Chaotic synchronization of Chua’s circuits with nonlinear control , 2010 .

[5]  Jiye Zhang,et al.  Synchronizing chaotic systems using backstepping design , 2003 .

[6]  Youdan Kim,et al.  Nonlinear Adaptive Flight Control Using Backstepping and Neural Networks Controller , 2001 .

[7]  H. Agiza,et al.  Bifurcations, chaos and synchronization in ADVP circuit with parallel resistor , 2008 .

[8]  Yueming Hu,et al.  Robust Backstepping Sliding Mode Control of a Class of Uncertain MIMO Nonlinear Systems , 2007, 2007 IEEE International Conference on Control and Automation.

[9]  T. Liao,et al.  Anti-synchronization of uncertain unified chaotic systems with dead-zone nonlinearity , 2008 .

[10]  Marios M. Polycarpou,et al.  Backstepping-Based Flight Control with Adaptive Function Approximation , 2005 .

[11]  S. Ge,et al.  Adaptive control of uncertain Chua's circuits , 2000 .

[12]  Yang Tao,et al.  Impulsive stabilization for control and synchronization of chaotic systems: theory and application to secure communication , 1997 .

[13]  Yi Li,et al.  Adaptive control and synchronization of a novel hyperchaotic system with uncertain parameters , 2008, Appl. Math. Comput..

[14]  O. Rössler An equation for hyperchaos , 1979 .

[15]  H. N. Agiza,et al.  Controlling chaos for the dynamical system of coupled dynamos , 2002 .

[16]  Guanrong Chen,et al.  Adaptive Control of the Uncertain Duffing Oscillator , 1997 .

[17]  Robert M. May,et al.  Simple mathematical models with very complicated dynamics , 1976, Nature.

[18]  Congxu Zhu,et al.  Control and synchronize a novel hyperchaotic system , 2010, Appl. Math. Comput..

[19]  Y. Soh,et al.  The stabilization and synchronization of Chua's oscillators via impulsive control , 2001 .

[20]  Alexander L. Fradkov,et al.  Adaptive synchronization of chaotic systems based on speed gradient method and passification , 1997 .

[21]  Jun-Juh Yan,et al.  Synchronization of a modified Chua's circuit system via adaptive sliding mode control , 2008 .

[22]  Zengqiang Chen,et al.  A novel hyperchaos system only with one equilibrium , 2007 .

[23]  Peter Stavroulakis,et al.  Chaos Applications in Telecommunications , 2005 .

[24]  H. N. Agiza,et al.  Adaptive synchronization of Chua's circuits with fully unknown parameters , 2006 .

[25]  Xinghuo Yu,et al.  Chaos control : theory and applications , 2003 .

[26]  Eugene M. Izhikevich,et al.  Dynamical Systems in Neuroscience: The Geometry of Excitability and Bursting , 2006 .

[27]  M. Yassen Chaos control of chaotic dynamical systems using backstepping design , 2006 .

[28]  Zhang Ming-lian Reaction-jet and Aerodynamics Compound Control Missile Autopilot Design Based on Adaptive Fuzzy Sliding Mode Control via Backstepping , 2007 .