Zeroing Neural Network Approaches Based on Direct and Indirect Methods for Solving the Yang–Baxter-like Matrix Equation

Zeroing Neural Network Approaches Based on Direct and Indirect Methods for Solving the Yang–Baxter-like Matrix Equation

This research introduces three novel zeroing neural network (ZNN) models for addressing the time-varying Yang–Baxter-like matrix equation (TV-YBLME) with arbitrary (regular or singular) real time-varying (TV) input matrices in continuous time. One ZNN dynamic utilizes error matrices directly arising...

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Bibliographic Details
Main Authors: Wendong Jiang, Chia-Liang Lin, Vasilios N. Katsikis, Spyridon D. Mourtas, Predrag S. Stanimirović, Theodore E. Simos
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Mathematics
Subjects:
Yang–Baxter-like matrix equation (YBLME)
zeroing neural network (ZNN)
dynamical system
Tikhonov regularization
Online Access:https://www.mdpi.com/2227-7390/10/11/1950

Internet

https://www.mdpi.com/2227-7390/10/11/1950

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