A new global robust stability criteria for uncertain neural networks with fast time-varying delays
Date
2008
Authors
Qiu, J.
Zhang, J.
Wang, J.
Xia, Y.
Shi, P.
Editors
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Journal article
Citation
Chaos, Solitons and Fractals, 2008; 37(2):360-368
Statement of Responsibility
Jiqing Qiu, Jinhui Zhang, Jianfei Wang, Yuanqing Xia, Peng Shi
Conference Name
Abstract
This paper deals with the problem of robust stability for uncertain neural networks with time-varying delays. The system possesses time-varying and norm-bounded uncertainties. The time-varying delay function in this paper is not required to be either continuously differentiable, or its derivative less than one. Based on Lyapunov-Krasovskii functional approach, new delay-dependent and delay-derivative-dependent stability criteria are presented, which are given in terms of linear matrix inequalities (LMIs). Numerical examples are given to illustrate the effectiveness and less conservativeness of the developed techniques. © 2007 Elsevier Ltd. All rights reserved.
School/Discipline
Dissertation Note
Provenance
Description
Access Status
Rights
Copyright © 2007 Elsevier Ltd.