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Adaptive model predictive control for max-plus-linear discrete event input-output systems.
- Source :
- IEE Proceedings -- Control Theory & Applications; May2004, Vol. 151 Issue 3, p339-346, 8p
- Publication Year :
- 2004
-
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]
Details
- Language :
- English
- ISSN :
- 13502379
- Volume :
- 151
- Issue :
- 3
- Database :
- Complementary Index
- Journal :
- IEE Proceedings -- Control Theory & Applications
- Publication Type :
- Academic Journal
- Accession number :
- 13545541