Observer-based model reference adaptive control for unknown time-delay chaotic systems with input nonlinearity

作     者：Adloo, Hassan Noroozi, Navid Karimaghaee, Paknosh 

作者机构：Shiraz Univ Dept Elect & Comp Engn Shiraz *** Iran 

出 版 物：《NONLINEAR DYNAMICS》 (非线性动力学)

年 卷 期：2012年第67卷第2期

页      面：1337-1356页

核心收录：

学科分类：08[工学] 0802[工学-机械工程] 0801[工学-力学（可授工学、理学学位）] 

主　　题：Chaos control Model reference adaptive control Observer-based system Dead-zone and hysteresis nonlinearity 

摘      要：Existence of unknown time-delay in the systems is a drastic restriction that it can menace the stability criteria and even deteriorate the performance system. This undesired case would be more intensified if that the uncertain input nonlinearity effects are also considered. To handle the input nonlinearities effects (results in dead-zone and/or hysteresis phenomena) and also unknown time-delay in the chaotic systems, this paper presents an observer-based Model Reference Adaptive Control (MRAC) scheme for a class of unknown time-delay chaotic systems with disturbances. This new method is a delay-independent variable-structure control method which is integrated with an observer system. The main task of the proposed approach is to accomplish a perfect tracking procedure such that unknown parameters are adapted via output estimation error. Furthermore, stability of the closed-loop system is achieved by means of the Lyapunov stability theory. Finally, the proposed methods are applied to some famous chaotic systems to verify the effectiveness of the proposed methods.