Design and analysis of finite-time convergent complex-valued zeroing neural networks with application to time-variant complex matrix inversion

Cites Work

Complex-valued Zhang neural network for online complex-valued time-varying matrix inversion
Different Zhang functions leading to different Zhang-dynamics models illustrated via time-varying reciprocal solving
Global exponential convergence and stability of gradient-based neural network for online matrix inversion
Different-level algorithms for control of robotic systems
Two finite-time convergent Zhang neural network models for time-varying complex matrix Drazin inverse
Design of fuzzy system-fuzzy neural network-backstepping control for complex robot system
Nonlinear recurrent neural networks for finite-time solution of general time-varying linear matrix equations
Design, verification and robotic application of a novel recurrent neural network for computing dynamic Sylvester equation
Impact of random weights on nonlinear system identification using convolutional neural networks
Real-time robot manipulator tracking control as multilayered time-varying problem
A recalling-enhanced recurrent neural network: conjugate gradient learning algorithm and its convergence analysis
A parallel computing method based on zeroing neural networks for time-varying complex-valued matrix Moore-Penrose inversion
Recurrent Neural Network for Computing Outer Inverse
Comprehensive study on complex-valued ZNN models activated by novel nonlinear functions for dynamic complex linear equations

This page was built for publication: Design and analysis of finite-time convergent complex-valued zeroing neural networks with application to time-variant complex matrix inversion