Global Stabilization for Stochastic High-Order Nonlinear Systems via Unbounded Time-Varying Scaling

被引：0
|
作者：
Song, Zhibao [1 ]
Zhai, Junyong [1 ]
机构：
[1] Southeast Univ, Key Lab Measurement & Control CSE, Minist Educ, Sch Automat, Nanjing 210096, Jiangsu, Peoples R China
来源：
2017 IEEE INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION (IEEE ICIA 2017) | 2017年
基金：
中国国家自然科学基金;
关键词：
Stochastic nonlinear systems; unbounded time varying scaling; exponential stability; POWER INTEGRATOR; FEEDBACK; DESIGN;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
In this paper, the problem of global exponential stabilization is investigated for a class of stochastic high-order nonlinear systems. In the presence of stochastic disturbance, unbounded time-varying scaling of states is employed. With the aid of the backstepping technique and stochastic stability theory, a state feedback controller is constructed to guarantee the closed-loop system exponentially stable in probability. A numerical example is presented to illustrate the validity of the proposed control method.
引用
收藏
页码：422 / 427
页数：6
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