Recurrent neural dynamics for handling linear equation system with rank-deficient coefficient and disturbance existence

DOI10.1016/j.jfranklin.2022.02.028OpenAlexW4220884297MaRDI QIDQ2137098

Publication date: 16 May 2022

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2022.02.028

Mathematics Subject Classification ID

Linear and multilinear algebra; matrix theory (15-XX)

Related Items (1)

Discrete generalized-Sylvester matrix equation solved by RNN with a novel direct discretization numerical method

Cites Work

Continuous and discrete Zhang dynamics for real-time varying nonlinear optimization
Solving future equation systems using integral-type error function and using twice ZNN formula with disturbances suppressed
Proposing, developing and verification of a novel discrete-time zeroing neural network for solving future augmented Sylvester matrix equation
Taylor-type 1-step-ahead numerical differentiation rule for first-order derivative approximation and ZNN discretization
Noise-Tolerant ZNN Models for Solving Time-Varying Zero-Finding Problems: A Control-Theoretic Approach
A New Varying-Parameter Convergent-Differential Neural-Network for Solving Time-Varying Convex QP Problem Constrained by Linear-Equality
Numerical Methods for Ordinary Differential Equations

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