Robust adaptive output feedback control to a class of non-triangular stochastic nonlinear systems

被引：144
|
作者：
Li, Yongming [1 ]
Liu, Lu [2 ]
Feng, Gang [2 ]
机构：
[1] Liaoning Univ Technol, Coll Sci, Jinzhou 121000, Liaoning, Peoples R China
[2] City Univ Hong Kong, Dept Mech & Biomed Engn, Kowloon, Hong Kong, Peoples R China
来源：
AUTOMATICA | 2018年 / 89卷
基金：
中国国家自然科学基金;
关键词：
Robust adaptive control; Non-triangular nonlinear systems; Backstepping; Stochastic disturbances; SMALL-GAIN APPROACH; FUZZY CONTROL; DESIGN; DELAY;
D O I：
10.1016/j.automatica.2017.12.020
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, the robust adaptive control design problem is studied for a class of non-triangular nonlinear systems with unmodeled dynamics and stochastic disturbances. It is assumed that the states of the systems to be controlled are unmeasurable, and thus an adaptive state observer is first developed. By utilizing the stochastic small-gain theorem and the backstepping recursive design procedure, a robust adaptive output feedback control scheme is then proposed. It is shown that all the signals in the resulting closed-loop system are bounded in probability, and the system output converges to a small residual set of the equilibrium in probability. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码：325 / 332
页数：8
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