Co-Design of Finite-Time Convergence and Noise Suppression: A Unified Neural Model for Time Varying Linear Equations With Robotic Applications.
Lin XiaoShuai LiKenli LiLong JinBolin LiaoPublished in: IEEE Trans. Syst. Man Cybern. Syst. (2020)
Keyphrases
- linear equations
- neural model
- noise suppression
- gauss seidel method
- extensive simulations
- neural network
- filtering algorithm
- median filter
- impulsive noise
- recurrent neural networks
- denoising algorithm
- noise removal
- gaussian noise
- control scheme
- convergence rate
- noise detection
- wavelet analysis
- linear systems
- impulse noise
- multi layer perceptron
- convergence speed
- denoising
- gaussian filter
- pso algorithm
- artificial neural networks
- noise reduction
- color images
- image denoising
- global optimization
- noise level
- experimental data
- particle swarm optimization
- neural network model