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https://hdl.handle.net/2440/88019
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Type: | Conference paper |
Title: | New Stochastic robust stability criteria for time-varying delay neural networks with Markovian jump parameters |
Author: | Qiu, J. Shi, P. Yang, H. Li, L. Li, J. |
Citation: | Proceedings of the 27th Chinese Control Conference 2008, (CCC 2008), 2008 / Cheng, D. (ed./s), pp.634-637 |
Publisher: | IEEE |
Publisher Place: | China |
Issue Date: | 2008 |
ISBN: | 9787900719706 |
Conference Name: | Chinese Control Conference (CCC) (16 Jul 2008 - 18 Jul 2008 : Kunming, Yunnan, China) |
Editor: | Cheng, D. |
Statement of Responsibility: | Qiu Jiqing, Shi Peng, Yang Hongjiu, Li Li, Li Jie |
Abstract: | In this paper, the problem of stochastic robust stability of interval time-varying delay neural networks with Markovian jump parameters is investigated. The jumping parameters are modeled as a continuous-time, discrete-state Markov process. The linear factional uncertainty is considered, it means that a less conservative result will be obtained than using norm-bounded parameter uncertainties. And the derivative of the delay function can exceed one. Based on the lyapunov-krasovskii functional approach, a new delay-dependent stochastic stability criteria is presented in terms of linear matrix inequalities (LMIs). A numerical example is given to illustrate the effectiveness of the proposed method. |
DOI: | 10.1109/CHICC.2008.4605130 |
Published version: | http://dx.doi.org/10.1109/chicc.2008.4605130 |
Appears in Collections: | Aurora harvest 7 Electrical and Electronic Engineering publications |
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