Probability‐guaranteed encoding–decoding‐based state estimation for delayed memristive neutral networks with event‐triggered mechanism

Summary This article handles the probability‐guaranteed state estimation problem for a class of nonlinear memristive neural networks (MNNs) by using an event‐triggered mechanism. Both time‐varying delays and incomplete measurements are considered in the MNNs dynamics. To mitigate the impact of limit...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	International journal of adaptive control and signal processing Jg. 38; H. 8; S. 2750 - 2770
Hauptverfasser:	Hu, Chen, Zhang, Shuhua, Zhao, Hongyuan, Ma, Lifeng, Guo, Jian
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Bognor Regis Wiley Subscription Services, Inc 01.08.2024
Schlagworte:	Coding Convexity encoding–decoding mechanism event‐triggered technique memristive neural networks Neural networks Parameter estimation probability‐guaranteed estimation State estimation
ISSN:	0890-6327, 1099-1115
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!