Integral Input-to-state Stability of Discrete-Time Cascade Systems

被引：1

作者：

Li, Guiyuan ^{[1
]}

Zhao, Ping ^{[1
]}

机构：

[1] Univ Jinan, Sch Elect Engn, Jinan 250022, Shandong, Peoples R China

来源：

2016 8TH INTERNATIONAL CONFERENCE ON INTELLIGENT HUMAN-MACHINE SYSTEMS AND CYBERNETICS (IHMSC), VOL. 1 | 2016年

关键词：

integral input-to-state stability; discrete time system; cascade system; Lyapunov function; NONLINEAR-SYSTEMS;

D O I：

10.1109/IHMSC.2016.13

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, some integral input-to-state stability (iISS) results for discrete time cascade systems are presented. Firstly, the definition of iISS for discrete time systems is provided. By using the Lyapunov function method, we give the sufficient conditions on iISS of discrete time cascade systems. Especially, for linear discrete time cascade systems, the sufficient conditions on iISS are provided. Finally, corresponding examples are provided to illustrate the effectiveness of our results.

引用

页码：152 / 155

页数：4

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