APPROXIMATE MIN-MAX MPC FOR LINEAR HYBRID SYSTEMS
This paper presents a Receding Horizon Control (RHC) strategy to robustly control linear hybrid systems subject to bounded additive disturbances. First, the open-loop finite horizon min-max optimal control problem associated with the RHC strategy is presented, defining a mixed-integer optimization p...
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Published in | IFAC Proceedings Volumes Vol. 38; no. 1; pp. 622 - 627 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
2005
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Subjects | |
Online Access | Get full text |
ISSN | 1474-6670 |
DOI | 10.3182/20050703-6-CZ-1902.00504 |
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Abstract | This paper presents a Receding Horizon Control (RHC) strategy to robustly control linear hybrid systems subject to bounded additive disturbances. First, the open-loop finite horizon min-max optimal control problem associated with the RHC strategy is presented, defining a mixed-integer optimization problem. The goal of the min-max formulation is to minimize the worst-case cost of the performance index, while guaranteeing performance/safety constraints for all possible disturbance realizations. Then it will be proved that feasibility at the initial time as well as convexity arguments and set-invariance assumptions are sufficient conditions to guarantee robust stability and performance of the closed-loop system. Simulation results for a perturbed hybrid system will demonstrate the potential of the proposed robust optimal control design. |
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AbstractList | This paper presents a Receding Horizon Control (RHC) strategy to robustly control linear hybrid systems subject to bounded additive disturbances. First, the open-loop finite horizon min-max optimal control problem associated with the RHC strategy is presented, defining a mixed-integer optimization problem. The goal of the min-max formulation is to minimize the worst-case cost of the performance index, while guaranteeing performance/safety constraints for all possible disturbance realizations. Then it will be proved that feasibility at the initial time as well as convexity arguments and set-invariance assumptions are sufficient conditions to guarantee robust stability and performance of the closed-loop system. Simulation results for a perturbed hybrid system will demonstrate the potential of the proposed robust optimal control design. |
Author | Botto, M. Ayala Silva, M. Costa, J. Sá da |
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Cites_doi | 10.1016/S0005-1098(99)00113-2 10.1007/978-1-4615-1139-7_12 10.1002/rnc.817 10.1109/JPROC.2000.871299 10.1109/ACC.2001.945564 10.1016/S0005-1098(98)00178-2 10.1109/9.704989 10.1137/S0036139997325199 10.1109/9.654885 10.1016/S0005-1098(00)00050-9 10.1109/9.911417 10.1016/S0005-1098(01)00059-0 10.1016/S0005-1098(99)00214-9 |
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Keywords | min-max optimization model predictive control control robust control hybrid systems mixed logical dynamical systems |
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Snippet | This paper presents a Receding Horizon Control (RHC) strategy to robustly control linear hybrid systems subject to bounded additive disturbances. First, the... |
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SubjectTerms | hybrid systems min-max optimization mixed logical dynamical systems model predictive control control robust control |
Title | APPROXIMATE MIN-MAX MPC FOR LINEAR HYBRID SYSTEMS |
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