Adaptive state-feedback stabilization for a large class of high-order stochastic nonlinear systems

被引：65
|
作者：
Li, Wuquan [1 ]
Jing, Yuanwei [2 ]
Zhang, Siying [2 ]
机构：
[1] Ludong Univ, Sch Math & Informat, Yantai 264025, Peoples R China
[2] Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110819, Peoples R China
来源：
AUTOMATICA | 2011年 / 47卷 / 04期
基金：
中国国家自然科学基金;
关键词：
High-order stochastic nonlinear systems; Adaptive state-feedback stabilization; Power order restriction; Nonlinear growth condition; PARAMETERIZED SYSTEMS; STABILITY; DESIGN;
D O I：
10.1016/j.automatica.2011.01.084
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Under the more general conditions on the power order and the nonlinear functions, this paper investigates the problem of adaptive state-feedback stabilization for a class of high-order stochastic nonlinear systems with time-varying control coefficients. Based on the backstepping design method and homogeneous domination technique, the closed-loop system can be proved to be globally stable in probability and the states can be regulated to the origin almost surely. The efficiency of the state-feedback controller is demonstrated by a simulation example. (C) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码：819 / 828
页数：10
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