Fuzzy system-based adaptive iterative learning control for nonlinear plants with initial state errors.

Fuzzy system-based adaptive iterative learning control for nonlinear plants with initial state errors.

In this paper, a fuzzy system-based adaptive iterative learning controller is proposed for a class of non-Lipschitz nonlinear plants which can repeat a given task over a finite time interval. The variable initial resetting state errors at the beginning of each trial is considered. To overcome the in...

Full description

Bibliographic Details
Published in:IEEE Transactions on fuzzy systems 12, 5 (2004).
Main Author: Chiang-Ju Chien
Format: Article
Language:English
Subjects:
Adaptive algorithm.
Adaptive iterative learning control.
Closed loop stability.
Error function.
Fuzzy system.
Initial state error.
NonLipschitz nonlinear plants.
Time varying boundary layer.