ROBUST ILC DESIGN IS STRAIGHTFORWARD FOR UNCERTAIN LTI SYSTEMS SATISFYING THE ROBUST PERFORMANCE CONDITION
A. Tayebi* M.B. Zaremba**
* Department of Electrical Engineering, Lakehead University Thunder Bay, Ont., P7B 5E1, Canada E-mail: Abdelhamid.Tayebi@lakeheadu.ca
** Département dinformatique, Université du Québec Hull, Qc, J8X 3X7, Canada E-mail: Zaremba@uqah.uquebec.ca
This paper demonstrates that the design of a robust feedback-based Iterative Learning Control (ILC) is straightforward for uncertain linear time invariant (LTI) systems satisfying the robust performance condition. It is shown that once a controller is designed to satisfy the well known robust performance condition, a convergent updating rule involving the performance weighting function can be directly obtained. It is also shown that for a particular choice of this weighting function, one can achieve a perfect tracking.
Keywords: Iterative learning control, robust control, robust performance condition
Session slot T-Fr-A21: Posters of Learning, Stochastic, Fuzzy and Nerural Systems/Area code 3b : Adaptive Control and Tuning

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