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.