Title :
Adaptive control of a class of novel hyperchaotic systems with fully unknown parameters
Author :
Han, Xichang ; Miao, Lihua ; Zhao, Yan ; Sun, Qiuye
Author_Institution :
Dept. of Autom. Control Eng., Shenyang Inst. of Eng., Shenyang, China
Abstract :
In this paper, the stabilization problems of a class of new hyperchaotic systems with fully unknown parameters are concerned. Based on the adaptive control idea, two novel adaptive state feedback controllers are designed to implement the asymptotic stabilization of this kind of new hyperchaotic system by choosing appropriate controller structure and parametric updating law, respectively. The effectiveness of the proposed adaptive control method is verified by simulation results.
Keywords :
Lyapunov methods; adaptive control; asymptotic stability; chaos; control system synthesis; nonlinear control systems; state feedback; adaptive control; asymptotic stabilization; hyperchaotic systems; parametric updating law; stabilization problems; state feedback controllers; Adaptive control; Biomedical engineering; Chaos; Control systems; Educational institutions; Linear feedback control systems; Lyapunov method; Optimal control; Programmable control; State feedback; Lyapunov stability theory; adaptive stabilization; hyperchaotic system; unknown parameters;
Conference_Titel :
Advanced Computer Control (ICACC), 2010 2nd International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-1-4244-5845-5
DOI :
10.1109/ICACC.2010.5487205
