Decentralized output feedback adaptive control of large-scale stochastic nonlinear system

被引：0
作者：
Wu, S [1 ]
Deng, FQ [1 ]
机构：
[1] S China Univ Technol, Coll Automat Sci & Engn, Guangzhou 510640, Guangdong, Peoples R China
来源：
PROCEEDINGS OF 2005 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-9 | 2005年
关键词：
large-scale stochastic nonlinear systems; output feedback adaptive control; decentralized stabilization; bounded stability in probability;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：604 / 608
页数：5
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