Publicación:
SET-VALUED MODEL PREDICTIVE CONTROL

dc.creatorMARÍA NATHALIE RISSO SEPÚLVEDA
dc.date2022
dc.date.accessioned2025-01-10T15:30:32Z
dc.date.available2025-01-10T15:30:32Z
dc.date.issued2022
dc.description.abstractMODEL PREDICTIVE CONTROL (MPC) IS A VALUABLE TOOL TO DEAL WITH SYSTEMS THAT REQUIRE OPTIMAL SOLUTIONS AND CONSTRAINT SATISFACTION. IN THE CASE OF SYSTEMS WITH UNCERTAINTY, THE FORMULATION OF PREDICTIVE CONTROLLERS REQUIRES MODELS WHICH ARE CAPABLE TO CAPTURE SYSTEM DYNAMICS, CONSTRAINTS AND ALSO SYSTEM UNCERTAINTY. IN THIS WORK WE PRESENT A FORMULATION FOR A SETVALUED MODEL PREDICTIVE CONTROL (SVMPC) WHERE UNCERTAINTY IS REPRESENTED IN TERMS OF SETS. THE APPROACH PRESENTED HERE CONSIDERS A MODEL WHERE THE STATE IS SET-VALUED AND DYNAMICS ARE DEFINED BY A SET-VALUED MAP. THE COST FUNCTION ASSOCIATED TO THE PROPOSED MPC ASSOCIATES A REAL-VALUED COST TO EACH SET VALUED (OR TUBE-BASED) TRAJECTORY. FOR THIS FORMULATION, WE STUDY CONDITIONS THAT CAN YIELD THE CONSTRAINED OPTIMAL CONTROL PROBLEM ASSOCIATED TO THE SET-VALUED MPC FORMULATION FEASIBLE AND STABLE, THUS EXTENDING EXISTING STABILITY RESULTS FROM CLASSIC MPC TO A SET-BASED APPROACH. EXAMPLES ILLUSTRATE THE RESULTS ALONG THE PAPER.
dc.formatapplication/pdf
dc.identifier.doi10.1109/CDC45484.2021.9682993
dc.identifier.urihttps://repositorio.ubiobio.cl/handle/123456789/12348
dc.languagespa
dc.publisher2021 60TH PROCEEDINGS OF THE IEEE CONFERENCE ON DECISION AND CONTROL
dc.relation.uri10.1109/CDC45484.2021.9682993
dc.rightsPUBLICADA
dc.titleSET-VALUED MODEL PREDICTIVE CONTROL
dc.title.alternativeCONTROL PREDICTIVO DE MODELOS CON VALORES ESTABLECIDOS
dc.typeARTÍCULO
dspace.entity.typePublication
ubb.EstadoPUBLICADA
ubb.Otra ReparticionDEPARTAMENTO DE INGENIERIA ELECTRICA Y ELECTRONICA
ubb.SedeCONCEPCIÓN
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