Observer-based resilient dissipativity control for discrete-time memristor-based neural networks with unbounded or bounded time-varying delays

This work focuses on the issue of observer-based resilient dissipativity control of discrete-time memristor-based neural networks (DTMBNNs) with unbounded or bounded time-varying delays. Firstly, the Luenberger observer is designed, and additionally based on the observed states, the observer-based r...

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Veröffentlicht in:	Neural networks 2024-07, Vol.175, p.106279-106279, Article 106279
Hauptverfasser:	Tu, Kairong, Xue, Yu, Zhang, Xian
Format:	Artikel
Sprache:	eng
Schlagworte:	Discrete-time memristor-based neural networks Luenberger observer Observer-based resilient dissipativity control System solutions-based estimation approach
Online-Zugang:	Volltext
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