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

Author

van den Boom, T.J.J., De Schutter, B., Schullerus, G., and Krebs, V.

Subjects
PREDICTIVE control systems, AUTOMATIC control systems, ELECTRONIC controllers, ELECTRIC controllers, PROCESS control systems, MATHEMATICS
Abstract

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 parameterestimation/MPC algorithm gives a good closed-loop behaviour. [ABSTRACT FROM AUTHOR]

Published
2004

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