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Iterative learning control-convergence using high gain feedback

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1 Author(s)
D. H. Owens ; Centre for Syst. & Control Eng., Exeter Univ., UK

The author presents a convergence theory for iterative learning control based on the use of high-gain current trial feedback for the special case of relative degree one, MIMO (multiple-input multiple-output) minimum-phase systems. The results are related to those of Padieu and Su (1990) via the notion of positive real systems. In particular, positive real systems are easily arranged to have convergent learning by simple proportional learning rules of arbitrary positive gain

Published in:

Decision and Control, 1992., Proceedings of the 31st IEEE Conference on

Date of Conference: