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Author Jost, M. ♦ Monnigmann, M.
Sponsorship IEEE Control Syst. Soc.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2013
Language English
Subject Domain (in DDC) Technology ♦ Engineering & allied operations ♦ Other branches of engineering
Subject Keyword Approximation methods ♦ Ellipsoids ♦ Optimization ♦ Acceleration ♦ Complexity theory ♦ Optimal control ♦ Predictive control
Abstract We propose a method for the acceleration of the online linear model predictive control (MPC) calculations with partial information on the explicit solution. We highlight two properties of the proposed approach: (i) It does not require to calculate the explicit solution first, and its computational effort grows only polynomially in the number of the constraints of the problem. The proposed approach can therefore be applied to problems that are too large for today's explicit MPC methods. (ii) The method is not based on a specific type or implementation of the optimization algorithm and can therefore easily be combined with a variety of existing MPC implementations. The proposed approach is, to the knowledge of the authors, one of yet a few attempts to use the insight into the structure of the explicit MPC law in online MPC.
Description Author affiliation: Autom. Control & Syst. Theor., Ruhr-Univ. Bochum, Bochum, Germany (Jost, M.; Monnigmann, M.)
ISBN 9781467357142
ISSN 07431546
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2013-12-10
Publisher Place Italy
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
e-ISBN 9781467357173
Size (in Bytes) 214.87 kB
Page Count 6
Starting Page 5764
Ending Page 5769


Source: IEEE Xplore Digital Library