Robust finite-time H∞ control for a class of uncertain switched neural networks of neutral-type with distributed time varying delays

被引：54

作者：

Ali, M. Syed ^{[1
]}

Saravanan, S. ^{[1
]}

机构：

[1] Thiruvalluvar Univ, Dept Math, Vellore 632115, Tamil Nadu, India

来源：

NEUROCOMPUTING | 2016年 / 177卷

关键词：

Average dwell time approach; Finite-time H-infinity control; Lyapunov-Krasovskii method; Switched neural networks; Time-varying delay; STABILITY ANALYSIS; ASYMPTOTIC STABILITY; EXPONENTIAL STABILITY; SYSTEMS; DISCRETE; BOUNDEDNESS;

D O I：

10.1016/j.neucom.2015.11.058

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, we investigate finite-time H-infinity control of uncertain switched neural networks of neutral type with distributed time varying delays. The mathematical model of the switched neural networks with distributed delays is established in which a set of neural networks are used as individual subsystems and an arbitrary switching rule is assumed, stability analysis for such switched neural networks is addressed based on the linear matrix inequality (LMI) and finite-time bounded average dwell time approach. Finite-time H-infinity performance analysis was established for switched neural network of neutral type. Numerical examples are given to illustrate the usefulness of our proposed method. (C) 2015 Elsevier B.V. All rights reserved.

引用

页码：454 / 468

页数：15

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