An LMI approach to passivity analysis for uncertain neural networks with multiple time-varying delays

Chien-Yu Lu, Chin-Wen Liao, Hsun Heng Tsai, Jason Sheng Hong Tsai, Jui Chuan Cheng

研究成果: Article同行評審

1 引文 斯高帕斯(Scopus)

摘要

This paper deals with the problem of Passivity analysis for neural networks with multiple time-varying delays subject to norm-bounded time-varying parameter uncertainties. The activation functions are supposed to be bounded and globally Lipschitz continuous. New passivity conditions are proposed by using Lyapunov-Krasovskii functionals and the free-weighting matrix method to relax the existing requirement of derivative of time delays of the system. Passivity conditions are obtained in terms of linear matrix inequalities, which can be investigated easily by using recently developed standard algorithms. Two illustrative examples are provided to demonstrate the effectiveness.

原文English
頁(從 - 到)307-314
頁數8
期刊International Journal of Electrical Engineering
14
發行號4
出版狀態Published - 2007 八月 1

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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