Reducing the memory footprint of explicit MPC solutions by partial selection


Amount of memory needed to implement a given explicit model predictive control (MPC) feedback law is reduced without sacrificing performance. We show that a simpler equivalent explicit feedback can be obtained by selecting a particular subset of controller regions. Since the procedure requires almost no pre-processing, it is easily applicable to reduce… (More)
DOI: 10.1109/CDC.2012.6426751


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