2-D Based Robust Iterative Learning Control Approach for Uncertain Linear Systems
In this paper, a robust iterative learning control (ILC) is designed for a class of uncertain linear systems. The proposed approach guaranties the robust monotonic convergence (RMC) of the considered class in respect of two dimensional systems theory. Tracking performance of a reference model is achieved based on H∞ criteria formulated in terms of linear matrix inequality (LMI). The simulation results carried out on servo flexible system are presented to demonstrate the effectiveness of the proposed scheme.
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Proceedings of the 19th International Symposium on Mathematical Theory of Networks and Systems – MTNS 2010. 5–9 July, 2010. Budapest, Hungary LQ parametrization of Robust Stabilizing Static Output Feedback Controllers for 2D Continuous Roesser Models Pavel Pakshin, Krzysztof Gałkowski and Eric Rogers
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