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Content Provider | IEEE Xplore Digital Library |
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Author | Hovd, M. Scibilia, F. Maciejowski, J. Olaru, S. |
Copyright Year | 2009 |
Description | Author affiliation: Department of Engineering, University of Cambridge, CB2 1PZ, UK (Maciejowski, J.) || Automatic Control Department, Supelec, 3 rue Joliot Curie, 91192 France (Olaru, S.) || Engineering Cybernetics Department, Norwegian University of Science and Technology, N-7491 Trondheim, Norway (Hovd, M.; Scibilia, F.) |
Abstract | Several authors have proposed algorithms for approximate explicit MPC [1],[2],[3]. These algorithms have in common that they develop a stability criterion for approximate explicit MPC that require the approximate cost function to be within a certain distance from the optimal cost function. In this paper, stability is instead ascertained by considering only the cost function of the approximate MPC. If a region of the state space is found where the cost function is not decreasing, this indicates that an improved approximation (to the optimal control) is required in that region. If the approximate cost function is decreasing everywhere, no further refinement of the approximate MPC is necessary, since stability is guaranteed. |
Starting Page | 6345 |
Ending Page | 6350 |
File Size | 533480 |
Page Count | 6 |
File Format | |
ISBN | 9781424438716 |
ISSN | 01912216 |
DOI | 10.1109/CDC.2009.5400788 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2009-12-15 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Cost function State-space methods Riccati equations Stability criteria Optimal control Interpolation Automatic control Performance loss Quadratic programming Tail |
Content Type | Text |
Resource Type | Article |
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