2020年11月
Sampled-data synchronization of delayed multi-agent networks and its application to coupled circuit
Neurocomputing
- 巻
- 413
- 号
- 開始ページ
- 499
- 終了ページ
- 511
- 記述言語
- 英語
- 掲載種別
- 研究論文(学術雑誌)
- DOI
- 10.1016/j.neucom.2020.05.060
- 出版者・発行元
- ELSEVIER
This paper deals with the synchronization control of general chaotic delayed neural networks via sampled-data controllers. The synchronization problem is reduced to a stabilization one, and then a Lyapunov-Krasovskii function (LKF) is proposed to obtain the sufficient condition for the asymptotic stability. Moreover, the sufficient condition is presented by linear matrix inequalities (LMIs), which are easy to solve by existing software. Three numerical examples including electrical circuits are provided to confirm validity of the theoretical results. (C) 2020 Elsevier B.V. All rights reserved.
- リンク情報
- ID情報
-
- DOI : 10.1016/j.neucom.2020.05.060
- ISSN : 0925-2312
- eISSN : 1872-8286
- ORCIDのPut Code : 81949355
- Web of Science ID : WOS:000579803700040