Adelaide Research & Scholarship
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https://hdl.handle.net/2440/83127
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| Type: | Journal article |
| Title: | A new global robust stability criteria for uncertain neural networks with fast time-varying delays |
| Author: | Qiu, J. Zhang, J. Wang, J. Xia, Y. Shi, P. |
| Citation: | Chaos, Solitons and Fractals, 2008; 37(2):360-368 |
| Publisher: | Pergamon-Elsevier Science Ltd |
| Issue Date: | 2008 |
| ISSN: | 0960-0779 |
| Statement of Responsibility: | Jiqing Qiu, Jinhui Zhang, Jianfei Wang, Yuanqing Xia, Peng Shi |
| 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. |
| Rights: | Copyright © 2007 Elsevier Ltd. |
| DOI: | 10.1016/j.chaos.2007.10.040 |
| Published version: | http://dx.doi.org/10.1016/j.chaos.2007.10.040 |
| Appears in Collections: | Aurora harvest 4 Electrical and Electronic Engineering publications |
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