A nonlinear zeroing neural network and its applications on time-varying linear matrix equations solving, electronic circuit currents computing and robotic manipulator trajectory tracking

DOI10.1007/s40314-022-02031-wOpenAlexW4296969162MaRDI QIDQ2085009

Jie Jin, Long Chen, Lv Zhao, Zhijun Tang, Wei-Jie Chen

Publication date: 14 October 2022

Published in: Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s40314-022-02031-w

zbMATH Keywords

circuitlinear matrix equationnew activation functionnonlinear zeroing neural network

Mathematics Subject Classification ID

Applications to the sciences (65Z05) Acceleration of convergence in numerical analysis (65B99)

Related Items

A noise tolerant parameter-variable zeroing neural network and its applications

Cites Work

• A new design formula exploited for accelerating Zhang neural network and its application to time-varying matrix inversion
• Complex-valued Zhang neural network for online complex-valued time-varying matrix inversion
• On the solution of fully fuzzy Sylvester matrix equation with trapezoidal fuzzy numbers
• A new technique for ill-conditioned linear systems
• Special least squares solutions of the reduced biquaternion matrix equation \(AX=B\) with applications
• A robust fast convergence zeroing neural network and its applications to dynamic Sylvester equation solving and robot trajectory tracking
• A combined power activation function based convergent factor-variable ZNN model for solving dynamic matrix inversion
• Two-step AOR iteration method for the linear matrix equation \(AXB=C\)
• Lopsided DSS iteration method for solving complex Sylvester matrix equation
• The double-step scale splitting method for solving complex Sylvester matrix equation
• New Hermitian and skew-Hermitian splitting methods for non-Hermitian positive-definite linear systems
• Robust zeroing neural network for fixed-time kinematic control of wheeled mobile robot in noise-polluted environment
• Simulation of varying parameter recurrent neural network with application to matrix inversion
• A family of varying-parameter finite-time zeroing neural networks for solving time-varying Sylvester equation and its application
• Improved finite‐time zeroing neural network for time‐varying division
• From Zhang Neural Network to Newton Iteration for Matrix Inversion
• A noise-tolerant fast convergence ZNN for dynamic matrix inversion
• Varying-Parameter Convergent-Differential Neural Solution to Time-Varying Overdetermined System of Linear Equations