A New Varying-Factor Finite-Time Recurrent Neural Network to Solve the Time-Varying Sylvester Equation Online

A New Varying-Factor Finite-Time Recurrent Neural Network to Solve the Time-Varying Sylvester Equation Online

This paper presents a varying-parameter finite-time recurrent neural network, called a varying-factor finite-time recurrent neural network (VFFTRNN), which is able to solve the solution of the time-varying Sylvester equation online. The proposed neural network makes the matrix coefficients vary with...

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Bibliographic Details
Main Authors: Haoming Tan, Junyun Wu, Hongjie Guan, Zhijun Zhang, Ling Tao, Qingmin Zhao, Chunquan Li
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Mathematics
Subjects:
recurrent neural network (RNN)
finite time
super-exponential convergence rate
Online Access:https://www.mdpi.com/2227-7390/12/24/3891
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