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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Principais autores:	Houssem Jerbi, Hadeel Alharbi, Mohamed Omri, Lotfi Ladhar, Theodore E. Simos, Spyridon D. Mourtas, Vasilios N. Katsikis
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2022-11-01
coleção:	Mathematics
Assuntos:	zeroing neural networks hyperpower iterations algebraic Riccati equations dynamical system
Acesso em linha:	https://www.mdpi.com/2227-7390/10/23/4490
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