A robust fast convergence zeroing neural network and its applications to dynamic Sylvester equation solving and robot trajectory tracking
From MaRDI portal
Publication:2137105
DOI10.1016/j.jfranklin.2022.02.022zbMath1494.65016OpenAlexW4214708851MaRDI QIDQ2137105
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.2022.02.022
Related Items (4)
A novel finite-time complex-valued zeoring neural network for solving time-varying complex-valued Sylvester equation ⋮ Nonlinear function activated GNN versus ZNN for online solution of general linear matrix equations ⋮ A noise tolerant parameter-variable zeroing neural network and its applications ⋮ A nonlinear zeroing neural network and its applications on time-varying linear matrix equations solving, electronic circuit currents computing and robotic manipulator trajectory tracking
Cites Work
- Nonlinear gradient neural network for solving system of linear equations
- Adaptive coefficient designs for nonlinear activation function and its application to zeroing neural network for solving time-varying Sylvester equation
- A combined power activation function based convergent factor-variable ZNN model for solving dynamic matrix inversion
- Proposing, developing and verification of a novel discrete-time zeroing neural network for solving future augmented Sylvester matrix equation
- Solving time-varying linear inequalities by finite-time convergent zeroing neural networks
- Distributed robust finite-time nonlinear consensus protocols for multi-agent systems
- 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
- Global finite-time stabilisation for a class of nonlinear systems
- Finite-Time Stability of Continuous Autonomous Systems
- Solution to Generalized Sylvester Matrix Equations
- A noise-tolerant fast convergence ZNN for dynamic matrix inversion
This page was built for publication: A robust fast convergence zeroing neural network and its applications to dynamic Sylvester equation solving and robot trajectory tracking