A frequency domain approach for designing filters for Norm-Optimal Iterative Learning Control and its fundamental tradeoff between robustness, convergence speed and steady state error.
Xinyi GeJeffrey L. SteinTulga ErsalPublished in: ACC (2016)
Keyphrases
- frequency domain
- convergence speed
- steady state error
- iterative learning control
- spatial domain
- convergence rate
- differential evolution
- step size
- particle swarm optimization
- subband
- single neuron
- pso algorithm
- denoising
- feature extraction
- learning rate
- pid controller
- iterative learning
- intelligent control
- low pass
- filter design
- image processing
- objective function
- multilayer perceptron