New Results on State Estimation of Static Neural Networks with Time-Varying Delays

Jing He, Yan Liang

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

This paper focuses on studying the H performance state estimation problem for static neural networks (SNNs) with time-varying delays. Consider the estimation problem for delayed SNNs, the previously well-known Lyapunov-Krasovski functional (LKF) methods are devoted to constructing more and more complex functionals, in which each term is positive definite function. Hence it is difficult to solve and optimize in designing estimators. In this paper, the simple delay product type LKF with negative definite terms is established for the use of the Wirtinger based inequality together with mixed convex combination approach. The delay dependent conditions in terms of linear matrix inequalities (LMIs) are obtained which lead to less conservative and more flexible estimator design results. Finally, a numerical example is given to demonstrate the merits over the existing ones.

源语言英语
主期刊名2020 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2020
出版商Institute of Electrical and Electronics Engineers Inc.
656-661
页数6
ISBN(电子版)9781728185262
DOI
出版状态已出版 - 11 10月 2020
活动2020 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2020 - Toronto, 加拿大
期限: 11 10月 202014 10月 2020

出版系列

姓名Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
2020-October
ISSN(印刷版)1062-922X

会议

会议2020 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2020
国家/地区加拿大
Toronto
时期11/10/2014/10/20

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