Title :
Decentralized Output Feedback Adaptive Control of Large-Scale Stochastic Nonlinear System
Author :
Wu, Sai ; Deng, Fei-qi
Author_Institution :
College of Automation Science and Engineering, South China University of Technology, Guangzhou, Guangdong, 510640, P. R. China E-MAIL: ninnie@21cn.com
Abstract :
This paper focuses on the large-scale stochastic nonlinear systems with bounded uncertainties in the strict-feedback form. The interconnections are bounded by strong nonlinear functions. The problem we address is to design a decentralized adaptive controller such that the closed-loop, large-scale, interconnected stochastic nonlinear system with bounded uncertainties is globally stable in probability. It is shown that the decentralized global stabilization via output feedback can be solved by a Lyapunov-based recursive design method.
Keywords :
Large-scale stochastic nonlinear systems; bounded stability in probability; decentralized stabilization; output feedback adaptive control; Adaptive control; Control systems; Design methodology; Large-scale systems; Nonlinear control systems; Nonlinear systems; Output feedback; Programmable control; Stochastic systems; Uncertainty; Large-scale stochastic nonlinear systems; bounded stability in probability; decentralized stabilization; output feedback adaptive control;
Conference_Titel :
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location :
Guangzhou, China
Print_ISBN :
0-7803-9091-1
DOI :
10.1109/ICMLC.2005.1527015
