CSE 02 - 007 Complexity reduction in MPC for stochastic max - plus - linear systems by variability expansion ∗

Abstract

Model predictive control (MPC) is a popular controller design technique in the process industry. Conventional MPC uses linear or nonlinear discrete-time models. Recently, we have extended MPC to a class of discrete event systems that can be described by a model that is “linear” in the max-plus algebra. In our previous work we have considered MPC for the… (More)

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