Global Adaptive Control for a Class of Uncertain Stochastic Nonlinear Systems with Unknown Output Gain

被引：17
|
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
来源：
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS | 2017年 / 15卷 / 03期
基金：
中国国家自然科学基金;
关键词：
Output-feedback control; stochastic nonlinear systems; unknown growth rates; unknown output gain; FEEDBACK CONTROL; STABILIZATION;
D O I：
10.1007/s12555-016-0023-9
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 addresses the global adaptive control problem for a class of uncertain stochastic nonlinear systems in the output-feedback form. Due to the unknown output gain, we construct a full-order homogeneous observer instead of using the system output. Then, by adding a power integrator technique, an output-feedback controller is designed, as well as an adaptive law to deal with the unknown nonlinear growth rates. Based on the generalized stochastic Lyapunov stability theorem, it can be proved that all the signals of the closed-loop system are bounded in probability, and the system states converge to the origin almost surely.
引用
收藏
页码：1125 / 1133
页数：9
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