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

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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Bibliographic Details
Main Authors: Houssem Jerbi, Hadeel Alharbi, Mohamed Omri, Lotfi Ladhar, Theodore E. Simos, Spyridon D. Mourtas, Vasilios N. Katsikis
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Mathematics
Subjects:
zeroing neural networks
hyperpower iterations
algebraic Riccati equations
dynamical system
Online Access:https://www.mdpi.com/2227-7390/10/23/4490

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https://www.mdpi.com/2227-7390/10/23/4490

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