Design of delay-range-dependent state estimators for discrete-time recurrent neural networks with interval time-varying delay

Chien-Yu Lu, Jui Chuan Cheng, Te Jen Su

研究成果: Conference contribution

3 引文 斯高帕斯(Scopus)

摘要

This paper performs a global stability analysis of a particular class of recurrent neural networks (RNN) with time-varying delay. Both Lipschitz continuous activation functions and monotone nondecreasing activation functions are considered. Globally delay-dependent robust stability criteria are derived in the form of linear matrix inequalities (LMI) through the use of Leibniz-Newton formula and relaxation matrices. Finally, two numerical examples are given to illustrate the effectiveness of the given criterion.

原文English
主出版物標題2008 American Control Conference, ACC
頁面4209-4213
頁數5
DOIs
出版狀態Published - 2008 九月 30
事件2008 American Control Conference, ACC - Seattle, WA, United States
持續時間: 2008 六月 112008 六月 13

出版系列

名字Proceedings of the American Control Conference
ISSN(列印)0743-1619

Other

Other2008 American Control Conference, ACC
國家United States
城市Seattle, WA
期間08-06-1108-06-13

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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  • 引用此

    Lu, C-Y., Cheng, J. C., & Su, T. J. (2008). Design of delay-range-dependent state estimators for discrete-time recurrent neural networks with interval time-varying delay. 於 2008 American Control Conference, ACC (頁 4209-4213). [4587154] (Proceedings of the American Control Conference). https://doi.org/10.1109/ACC.2008.4587154