15th Triennial World Congress of the International Federation of Automatic Control
  Barcelona, 21–26 July 2002 
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 d’informatique, 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