Output feedback for stochastic nonlinear systems with unmeasurable inverse dynamics

被引：1

作者：

Yu X. ^{[1
,2
]}

Duan N. ^{[2
,3
]}

机构：

[1] School of Automation, Southeast University

[2] Institute of Automation, Qufu Normal University

[3] School of Electrical Engineering and Automation, Xuzhou Normal University

来源：

International Journal of Automation and Computing | 2009年 / 6卷 / 4期

基金：

中国国家自然科学基金;

关键词：

Output feedback; Stochastic input-to-state stability (SISS); Stochastic integral input-to-state stability (SiISS); Stochastic inverse dynamic; Stochastic nonlinear systems;

D O I：

10.1007/s11633-009-0391-1

中图分类号：

学科分类号：

摘要：

This paper considers a concrete stochastic nonlinear system with stochastic unmeasurable inverse dynamics. Motivated by the concept of integral input-to-state stability (iISS) in deterministic systems and stochastic input-to-state stability (SISS) in stochastic systems, a concept of stochastic integral input-to-state stability (SiISS) using Lyapunov functions is first introduced. A constructive strategy is proposed to design a dynamic output feedback control law, which drives the state to the origin almost surely while keeping all other closed-loop signals almost surely bounded. At last, a simulation is given to verify the effectiveness of the control law. © Institute of Automation, Chinese Academy of Sciences and Springer Berlin Heidelberg 2009.

引用

页码：391 / 394

页数：3

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