Title :
Adaptive dynamic surface tracking scheme design for rössler chaotic systems with control input saturation
Author :
Zhifeng Gao ; Teng Cao ; Moshu Qian ; Jinxing Lin ; Jing Zhao
Author_Institution :
Coll. of Autom., Nanjing Univ. of Posts & Telecommun., Nanjing, China
Abstract :
In this paper, an adaptive tracking control approach is developed for a class of rössler chaotic systems with control input saturation by using dynamic surface control technique. Firstly, the nonlinear dynamical models of rössler chaotic systems with control input saturation are given. Then, an adaptive tracking controller is designed in the framework of dynamic surface control, which guaranteed that all the signals of the closed-loop control systems are ultimately uniformly bounded. A compensation control input term is introduced in the design of adaptive tracking controller in order to solve the control input saturation problem. Further, the stability of the closed-loop control systems is analyzed based on the Lyapunov stability theory. Finally, simulation results are given to illustrate the feasibility of the proposed approach.
Keywords :
Lyapunov methods; adaptive control; closed loop systems; compensation; control system synthesis; nonlinear control systems; nonlinear dynamical systems; stability; Lyapunov stability theory; Rossler chaotic systems; adaptive dynamic surface tracking scheme design; adaptive tracking control approach; adaptive tracking controller design; closed-loop control systems; compensation control input term; control input saturation; dynamic surface control technique; nonlinear dynamical models; Adaptation models; Adaptive systems; Backstepping; Chaos; Control systems; Synchronization; Uncertainty; Rössler chaotic systems; control input saturation; dynamic surface control;
Conference_Titel :
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location :
Qingdao
Print_ISBN :
978-1-4799-7016-2
DOI :
10.1109/CCDC.2015.7162439