Towards Higher-Order Zeroing Neural Network Dynamics for Solving Time-Varying Algebraic Riccati Equations

One of the most often used approaches for approximating various matrix equation problems is the hyperpower family of iterative methods with arbitrary convergence order, whereas the zeroing neural network (ZNN) is a type of neural dynamics intended for handling time-varying problems. A family of ZNN...

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Auteurs principaux:	Houssem Jerbi, Hadeel Alharbi, Mohamed Omri, Lotfi Ladhar, Theodore E. Simos, Spyridon D. Mourtas, Vasilios N. Katsikis
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2022-11-01
Collection:	Mathematics
Sujets:	zeroing neural networks hyperpower iterations algebraic Riccati equations dynamical system
Accès en ligne:	https://www.mdpi.com/2227-7390/10/23/4490
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