Title :
Adaptive state feedback control of exponentially practical stability for uncertain systems
Author :
Zhang, Xiao-li ; Fan, Yu-shun
Author_Institution :
Dept. of Autom., Tsinghua Univ., Beijing, China
Abstract :
The problem of adaptive state feedback exponentially practically stabilizing a class of time-varying systems with uncertainty and disturbance is considered. The conditions of state feedback exponentially practically stabilizing systems are given. The uncertainties of the systems satisfy the so-called matching condition. They can be nonlinear or time-varying. The bounds of the uncertainty exist, but are unknown. A kind of certain nonlinear controller, which can guarantee that the states of the systems exponentially converge to the equilibrium´s nearly region, which is named in advance in limited time, is designed. The simulation shows the validity of the result.
Keywords :
adaptive control; nonlinear control systems; stability; state feedback; time-varying systems; uncertain systems; adaptive control; nonlinear controller; stabilizing systems; state feedback; time-varying systems; uncertain systems; Adaptive control; Automatic control; Automation; Control systems; Nonlinear control systems; Programmable control; Stability; State feedback; Uncertain systems; Uncertainty;
Conference_Titel :
Machine Learning and Cybernetics, 2003 International Conference on
Print_ISBN :
0-7803-8131-9
DOI :
10.1109/ICMLC.2003.1259623