An adaptive scheme for chaotic synchronization in the presence of uncertain parameter and disturbances

被引:18
作者
Vargas, Jose A. R. [1 ]
Grzeidak, Emerson [1 ]
Gularte, Kevin H. M. [1 ]
Alfaro, Sadek C. A. [2 ]
机构
[1] Univ Brasilia, Dept Engn Eletr, BR-70910900 Brasilia, DF, Brazil
[2] Univ Brasilia, Dept Engn Mecan, BR-70910900 Brasilia, DF, Brazil
关键词
Adaptive synchronization; Adaptive control; Chaotic systems; Lyapunov methods; HYPERCHAOTIC SYSTEMS; ATTRACTOR; EQUATION; LU;
D O I
10.1016/j.neucom.2015.10.026
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Recently, several schemes have been proposed in the literature to synchronize chaotic systems. However, in most of these approaches, the presence of uncertain parameters and external disturbances were not considered. Motivated by the above consideration, this paper proposes an adaptive methodology to synchronize any chaotic system with unified chaotic systems, even if bounded disturbances are present The proposed controller is composed of both variable proportional and adaptive control actions for guaranteeing the convergence of the residual synchronization error to zero in the presence of disturbances. Two possible modifications are considered: 1) only adaptive control action is implemented to overcome the well-known assumption of prior knowledge of upper bounds to compensate for the disturbances, and 2) the control gain of the proportional part is saturated, when the residual synchronization error has, practically, been removed. Lyapunov theory, in combination with Barbalat's Lemma, is used to design the proposed controller. Experimental simulations are provided to show the effectiveness of the proposed controller and its advantages, when compared with a recent work in the literature. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码:1038 / 1048
页数:11
相关论文
共 47 条
[1]  
Afraimovich V. S., 1986, Radiophysics and Quantum Electronics, V29, P795, DOI 10.1007/BF01034476
[2]   Chaos synchronization between two different chaotic systems with uncertainties, external disturbances, unknown parameters and input nonlinearities [J].
Aghababa, Mohammad Pourmahmood ;
Heydari, Aiuob .
APPLIED MATHEMATICAL MODELLING, 2012, 36 (04) :1639-1652
[3]  
[Anonymous], INT J BIFURC CHAOS
[4]  
[Anonymous], CHAOS SOLITONS FRACT
[5]  
[Anonymous], INT J BIFURC CHAOS
[6]  
[Anonymous], P INT C MATH SCI AM
[7]  
[Anonymous], 2002, NONLINEAR SYSTEMS
[8]  
[Anonymous], 2004, Synchronization and control of chaos: an introduction for scientists and engineers
[9]  
[Anonymous], 2012, ROBUST ADAPTIVE CONT
[10]  
[Anonymous], CHIN PHYS