Adaptive Output Feedback Control for a Class of Uncertain Stochastic Nonlinear Systems With Unknown Time-Delays

被引:13
|
作者
Zha, Wenting [1 ]
Zhai, Junyong [1 ]
Fei, Shumin [1 ]
机构
[1] Southeast Univ, Sch Automat, Minist Educ, Key Lab Measurement & Control CSE, Nanjing 210096, Jiangsu, Peoples R China
基金
中国国家自然科学基金; 高等学校博士学科点专项科研基金;
关键词
Stochastic nonlinear systems; dynamic scaling; Lyapunov-Krasovskii functional; stochastic Barbalat's lemma; GROWTH-RATE; STABILIZATION;
D O I
10.1002/asjc.1101
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper investigates the problem of output feedback control for a class of stochastic nonlinear systems with time-delays. Using dynamic gain scaling technique, an adaptive update law is introduced to the observer and controller to deal with the unknown parameters. Based on the Lyapunov-Krasovskii functional and stochastic Barbalat's lemma, it is proved that the proposed universal-type adaptive output feedback controller can regulate all the states of the closed-loop system almost surely. A simulation example is presented to illustrate the effectiveness of the proposed design procedure.
引用
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页码:2354 / 2362
页数:9
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