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 inIFAC Proceedings Volumes Vol. 38; no. 1; pp. 622 - 627
Main Authors Botto, M. Ayala, Silva, M., Costa, J. Sá da
Format Journal Article
LanguageEnglish
Published 2005
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ISSN1474-6670
DOI10.3182/20050703-6-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.
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
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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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