State-feedback stabilization for high-order stochastic nonlinear systems with stochastic inverse dynamics

被引:146
|
作者
Xie, Xue-Jun [1 ]
Tian, He [1 ]
机构
[1] Qufu Normal Univ, Inst Automat, Qufu 273165, Shandong, Peoples R China
关键词
stochastic nonlinear systems; stochastic inverse dynamics; state-feedback; stabilization;
D O I
10.1002/rnc.1177
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
For a class of high-order stochastic nonlinear systems with stochastic inverse dynamics which are neither necessarily feedback linearizable nor affine in the control input, this paper investigates the problem of state-feedback stabilization for the first time. Under some weaker assumptions, a smooth state-feedback controller is designed, which ensures that the closed-loop system has an almost surely unique solution on [0, infinity), the equilibrium at the origin of the closed-loop system is globally asymptotically stable in probability, and the states can be regulated to the origin almost surely. A simulation example demonstrates the control scheme. Copyright (c) 2007 John Wiley & Sons, Ltd.
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页码:1343 / 1362
页数:20
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