Title :
Adaptive tracking control for a class of uncertain nonlinear systems with Markovian jumping parameters
Author :
Xiaobo, Xiao ; Yu, Kang ; Hongsheng, Xi ; Jun, Wang
Author_Institution :
Dept. of Autom., Univ. of Sci. & Technol. of China, China
Abstract :
This paper develops an adaptive tracking control law for a class of uncertain nonlinear systems with Markovian jumping parameters. Sufficient conditions for characterizing tracking controllers of the systems are provided, and the adaptive tracking control law for the system uncertainties is also presented. Finally a numerical example is presented to show the performance of the adaptive tracking control law.
Keywords :
Markov processes; adaptive control; nonlinear control systems; tracking; uncertain systems; Markovian jumping parameters; adaptive tracking control; system uncertainties; uncertain nonlinear systems; Adaptive control; Automatic control; Automation; Control systems; Nonlinear control systems; Nonlinear systems; Programmable control; Riccati equations; Sufficient conditions; Uncertainty;
Conference_Titel :
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN :
0-7803-8273-0
DOI :
10.1109/WCICA.2004.1340781
