Comprehensive study on complex-valued ZNN models activated by novel nonlinear functions for dynamic complex linear equations

DOI10.1016/j.ins.2020.12.078zbMath1528.65027OpenAlexW3121297827MaRDI QIDQ6057387

Lei Jia, Y. W. Li, Jianhua Dai, Jichun Li, Lin Xiao, Qing Liao

Publication date: 25 October 2023

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2020.12.078

zbMATH Keywords

finite-time convergenceactivation functionlinear system of equationcomplex-valued zeroing neural networkmodel-implementation error

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Numerical linear algebra (65F99)

Related Items (7)

Unique non-negative definite solution of the time-varying algebraic Riccati equations with applications to stabilization of LTV systems ⋮ A new recurrent neural network based on direct discretization method for solving discrete time-variant matrix inversion with application ⋮ Prescribed time convergence and robust zeroing neural network for solving time-varying linear matrix equation ⋮ Optimal design of a nonlinear control system based on new deterministic neural network scheduling ⋮ Improved zeroing neural models based on two novel activation functions with exponential behavior ⋮ Convergence and robustness of bounded recurrent neural networks for solving dynamic Lyapunov equations ⋮ Multistability analysis of quaternion-valued neural networks with cosine activation functions

Cites Work

• Complex-valued Zhang neural network for online complex-valued time-varying matrix inversion
• Design of extended dissipativity state estimation for generalized neural networks with mixed time-varying delay signals
• Displacement ranks of matrices and linear equations
• Divide and conquer: A parallel algorithm for the solution of a tridiagonal linear system of equations
• A neural network training algorithm utilizing multiple sets of linear equations
• Solving linear equations over GF(2): Block Lanczos algorithm
• New iterative improvement of a solution for an ill-conditioned system of linear equations based on a linear dynamic system.
• Design of generalized dissipativity state estimator for static neural networks including state time delays and leakage delays
• Novel results on synchronization for a class of switched inertial neural networks with distributed delays
• An overview of neuronal state estimation of neural networks with time-varying delays
• Design, verification and robotic application of a novel recurrent neural network for computing dynamic Sylvester equation
• An Arcak-type state estimation design for time-delayed static neural networks with leakage term based on unified criteria
• Solving linear equations by fuzzy quasigroups techniques
• From Zhang Neural Network to Newton Iteration for Matrix Inversion
• Complex Neural Network Models for Time-Varying Drazin Inverse
• On integration of parabolic equations by difference methods: I. Linear and quasi‐linear equations for the infinite interval
• Necessary and sufficient conditions for optimal impulsive rendezvous with linear equations of motion
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