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Adaptive model predictive control for max-plus-linear discrete event input-output systems

Adaptive model predictive control for max-plus-linear discrete event input-output systems

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Model predictive control (MPC) is a popular controller design technique in the process industry. Conventional MPC uses linear or nonlinear discrete-time models. Recently, MPC has been extended to a class of discrete-event systems that can be described by a model that is ‘linear’ in max-plus algebra. An adaptive scheme for the time-varying case, based on parameter estimation of input-output models is presented. In a simulation example it is shown that the combined parameter-estimation/MPC algorithm gives a good closed-loop behaviour.

http://iet.metastore.ingenta.com/content/journals/10.1049/ip-cta_20040440
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