Adaptive model predictive control for max-plus-linear discrete event input-output systems
- 1 May 2004
- journal article
- Published by Institution of Engineering and Technology (IET) in IEE Proceedings - Control Theory and Applications
- Vol. 151 (3) , 339-346
- https://doi.org/10.1049/ip-cta:20040440
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, 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.Keywords
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