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

Volume

1

fYear

2005

fDate

18-21 Aug. 2005

Firstpage

604

Lastpage

608

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on

Conference_Location

Guangzhou, China

Print_ISBN

0-7803-9091-1

Type

conf

DOI

10.1109/ICMLC.2005.1527015

Filename

1527015