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A New Iterative Learning Control Scheme for Linear Time-varying Discrete Systems

Lukasz Hladowski, Krzysztof Galkowski, Eric Rogers, Paul Lewin, Anton Kummert
In this paper we use a repetitive process setting to develop a new iterative learning control algorithm for plants modelled by a discrete linear time-varying state space model. As the next step in evaluating its performance, the results of a simulation based study
are given where the plant model is based on that experimentally measured for a gantry robot.
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