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MATLAB Simulation and Comparison of Zhang Neural Network and Gradient Neural Network for Time-Varying Lyapunov Equation Solving

2008
This paper presents a new kind of recurrent neural network proposed by Zhang et al.for solving online Lyapunov equation with time-varying coefficient matrices. Global exponential convergence could be achieved by such a recurrent neural network when solving the time-varying problems in comparison with gradient neural networks (GNN). MATLAB simulation of
Yunong Zhang   +3 more
openaire   +2 more sources

Online Solution of Time-Varying Lyapunov Matrix Equation by Zhang Neural Networks

Recent Patents on Computer Science, 2013
Chen F. Yi, Yu H. Liu
openaire   +1 more source

Robust Finite-Time Zeroing Neural Networks With Fixed and Varying Parameters for Solving Dynamic Generalized Lyapunov Equation

IEEE Transactions on Neural Networks and Learning Systems, 2022
Keqin Li, Kenli Li, Lin Xiao
exaly  

Accelerated Recurrent Neural Network Dynamics for Time-Varying Lyapunov Equation Solving

2024 Panhellenic Conference on Electronics & Telecommunications (PACET)
Achilleas Doumanis   +2 more
openaire   +1 more source

On Construction of Lyapunov Functions for Scalar Linear Time-Varying Systems

Systems and Control Letters, 2020
Yang Tian, James Lam, Bin Zhou
exaly  

Lyapunov Stability of Linear Predictor Feedback for Time-Varying Input Delay

IEEE Transactions on Automatic Control, 2010
Miroslav Krstić
exaly  

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