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Model predictive control: a multi-parametric programming approach

Bemporad, Alberto and Bozinis, Nikolaos A. and Dua, Vivek and Morari, Manfred and Pistikopoulos, Efstratios N. Model predictive control: a multi-parametric programming approach. In: European Symposium on Computer Aided Process Engineering-10, Florence, Italy pp. 301-306. (2000)

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In this paper, linear model predictive control problems are formulated as multi-parametric quadratic programs, where the control variables are treated as optimization variables and the state variables as parameters. It is shown that the control variables are affine functions of the state variables and each of these affine functions is valid in a certain polyhedral region in the space of state variables. An approach for deriving the explicit expressions of all the affine functions and their corresponding polyhedral regions is presented. The key advantage of this approach is that the control actions are computed off-line: the on-line computation simply reduces to a function evaluation problem.

Item Type: Conference or Workshop Item (Paper)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TJ Mechanical engineering and machinery
Research Area: Computer Science and Applications
Depositing User: Professor Alberto Bemporad
Date Deposited: 27 Jul 2011 09:11
Last Modified: 17 Jul 2014 12:17
URI: http://eprints.imtlucca.it/id/eprint/612

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