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...

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Bibliographische Detailangaben
Veröffentlicht in:IEEE Transactions on fuzzy systems 12, 5 (2004).
1. Verfasser: Chiang-Ju Chien
Format: Artikel
Sprache:English
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