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Decentralized Output Feedback Adaptive Control of Large-Scale Stochastic Nonlinear System

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2 Author(s)
Sai Wu ; College of Automation Science and Engineering, South China University of Technology, Guangzhou, Guangdong, 510640, P. R. China E-MAIL: ; Fei-Qi Deng

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.

Published in:

Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on  (Volume:1 )

Date of Conference:

18-21 Aug. 2005