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Content Provider | IEEE Xplore Digital Library |
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Author | Chen Wang Chong-Jin Ong Sim, M. |
Copyright Year | 2008 |
Description | Author affiliation: Dept. of Mech. Eng., Nat. Univ. of Singapore & Singapore-MIT Alliance, Singapore, Singapore (Chen Wang; Chong-Jin Ong) || Bus. Sch., Nat. Univ. of Singapore & Singapore-MIT Alliance, Singapore, Singapore (Sim, M.) |
Abstract | This paper considers a control parametrization under Model Predictive Control framework for constrained linear discrete time systems with bounded additive disturbances. Like the control parametrization in recent literature, the proposed parametrization uses affine disturbance feedback but includes an additional term. As a result, the parametrization has the same representative ability but has a different closed-loop convergence property. More exactly, the state of the closed-loop system converges to the minimal invariant set with probability one. Deterministic convergence to the same set is also possible if a less intuitive cost function is utilized. Numerical experiments are provided that validate the results. |
Starting Page | 2820 |
Ending Page | 2825 |
File Size | 238181 |
Page Count | 6 |
File Format | |
ISBN | 9781424431236 |
ISSN | 01912216 |
DOI | 10.1109/CDC.2008.4738707 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2008-12-09 |
Publisher Place | Mexico |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Linear systems Convergence State feedback Linear feedback control systems Predictive models Predictive control Cost function Control systems Mechanical engineering Discrete time systems |
Content Type | Text |
Resource Type | Article |
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