Adaptive Control and Synchronization of a New Three-Dimensional Chaotic System with Uncertain Parameters

Author(s):  
Ma Xiaopu ◽  
Zhang Zhenlian ◽  
Jin Yanan
2018 ◽  
Vol 7 (1) ◽  
pp. 45-50 ◽  
Author(s):  
Hamed Tirandaz

Abstract Chaos control and synchronization of chaotic systems is seemingly a challenging problem and has got a lot of attention in recent years due to its numerous applications in science and industry. This paper concentrates on the control and synchronization problem of the three-dimensional (3D) Zhang chaotic system. At first, an adaptive control law and a parameter estimation law are achieved for controlling the behavior of the Zhang chaotic system. Then, non-identical synchronization of Zhang chaotic system is provided with considering the Lü chaotic system as the follower system. The synchronization problem and parameters identification are achieved by introducing an adaptive control law and a parameters estimation law. Stability analysis of the proposed method is proved by the Lyapanov stability theorem. In addition, the convergence of the estimated parameters to their truly unknown values are evaluated. Finally, some numerical simulations are carried out to illustrate and to validate the effectiveness of the suggested method.


2019 ◽  
Vol 13 (1) ◽  
pp. 101
Author(s):  
Gambo Betchewe ◽  
Mohamadou Alidou ◽  
Sundarapandian Vaidyanathan ◽  
Oumate Alhadji Abba

2012 ◽  
Vol 170-173 ◽  
pp. 3381-3384
Author(s):  
Li Xin Yang ◽  
Wan Sheng He ◽  
Xiao Jun Liu

we study the parameter identification of a class of non-autonomous chaotic system in this paper. Based on the stability theory, we implement accurate identification by suitable adaptive law are given to identify any uncertain parameters of a class of nonautonmous chaotic systems. Theory analysis and numerical simulations of Dufffing chaotic system is presented to verify that the adaptive control to identify the parameters are effective and feasible.


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