A Generalization of the Nonlinear Small-Gain Theorem for Large-Scale Complex Systems

被引：131

作者：

Jiang, Zhong-Ping ^{[1
]}

Wang, Yuan ^{[2
]}

机构：

[1] Polytech Univ, Dept Elect & Comp Engn, 6 Metrotech Ctr, Brooklyn, NY 11201 USA

[2] Florida Atlantic Univ, Dept Math Sci, Boca Raton, FL 33431 USA

来源：

2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23 | 2008年

关键词：

Large-scale systems; input-to-state stability; input-to-output stability; nonlinear small-gain;

D O I：

10.1109/WCICA.2008.4593093

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents a generalization of the nonlinear small-gain theorem for large-scale complex systems consisting of multiple input-to-output stable systems. It includes as a special case the previous nonlinear small-gain theorems with two interconnected systems, and recent small-gain theorems for networks of input-to-state stable subsystems. It is expected that this new small-gain theorem will find wide applications in the analysis and control synthesis of large-scale complex systems.

引用

页码：1188 / +

页数：2

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