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...

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Vydané v:	International journal of adaptive control and signal processing Ročník 38; číslo 8; s. 2750 - 2770
Hlavní autori:	Hu, Chen, Zhang, Shuhua, Zhao, Hongyuan, Ma, Lifeng, Guo, Jian
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Bognor Regis Wiley Subscription Services, Inc 01.08.2024
Predmet:	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
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