Managing time-storage complexity in point location problem: Application to explicit model predictive control

作者: Farhad Bayat , Tor Arne Johansen , Ali Akbar Jalali

DOI: 10.1109/MED.2010.5547804

关键词:

摘要: The online computational burden of linear model predictive control (MPC) can be moved offline by using multi-parametric programming, so called explicit MPC. MPC is a piecewise affine (PWA) function defined over polyhedral subdivision the set feasible states. evaluation such law needs to determine region in which current state lies. This procedure point location problem and its complexity challenging. In this paper new flexible algorithm proposed enables designer tradeoff between time storage complexities. Utilizing concept hash tables associate functions method modified solve an aggregated processing independent number regions while remains tractable. effectiveness approach supported several numerical examples.

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