Neural network state learning based adaptive terminal ILC for tracking iteration-varying target points.
Yu LiuRonghu ChiZhongsheng HouPublished in: Int. J. Autom. Comput. (2015)
Keyphrases
- neural network
- learning process
- state space
- supervised learning
- learning systems
- linear predictors
- learning rules
- learning tasks
- active learning
- reinforcement learning
- online learning
- neural nets
- adaptive control
- learning capabilities
- particle filter
- incremental learning
- adaptive learning
- artificial neural networks
- robust tracking