A robust fast convergence zeroing neural network and its applications to dynamic Sylvester equation solving and robot trajectory tracking
Author:
Publisher
Elsevier BV
Subject
Applied Mathematics,Computer Networks and Communications,Signal Processing,Control and Systems Engineering
Reference49 articles.
1. Design and analysis of a novel integral recurrent neural network for solving time-varying Sylvester equation;Zhang;IEEE Trans. Cybern.,2021
2. Adaptive coefficient designs for nonlinear activation function and its application to zeroing neural network for solving time-varying Sylvester equation;Jian;J. Frankl. Inst.,2020
3. Solving time-varying linear inequalities by finite-time convergent zeroing neural networks;Zeng;J. Frankl. Inst.,2020
4. Proposing, developing and verification of a novel discrete-time zeroing neural network for solving future augmented Sylvester matrix equation;Shi;J. Frankl. Inst.,2020
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