Publicación:
CHALLENGES IN SET-VALUED MODEL-PREDICTIVE CONTROL

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dc.creatorMARÍA NATHALIE RISSO SEPÚLVEDA
dc.date2021
dc.date.accessioned2025-01-10T15:22:18Z
dc.date.available2025-01-10T15:22:18Z
dc.date.issued2021
dc.description.abstractIN THIS ABSTRACT WE DESCRIBE A FRAMEWORK FOR COMPUTATIONALLY-AWARE COMPUTING THROUGH SET-VALUED MODEL PREDICTIVE CONTROL. MODEL-PREDICTIVE CONTROL (MPC) CAN ENABLE MULTI-OBJECTIVE OPTIMIZATION IN REAL-TIME, THOUGH IT DEPENDS ON ACCURATE MODELS THROUGH WHICH FUTURE STATE VALUES CAN BE PREDICTED. THIS ABSTRACT IMPROVES UPON EXISTING MPC APPROACHES IN THAT IT CONSIDERS THE STATE TO BE A SET (RATHER THAN A SINGLETON IN THE STATE), ALLOWING THE TRAJECTORIES TO BE GIVEN BY A SEQUENCE OF SETS. THE FRAMEWORK IS BENEFICIAL FOR PHYSICAL SYSTEMS CONTROL WHERE THE UNCERTAINTY IN FUTURE PROJECTION CAN BE ATTRIBUTED TO BOTH MODEL ERROR, AND ENVIRONMENTAL OR SENSOR UNCERTAINTY, THUS PROVIDING GUARANTEES OF PERFORMANCE, ROBUSTLY. WE PROVIDE AN OVERVIEW OF THE FRAMEWORK, AND INCLUDE DISCUSSION FOR ITS ADVANTAGES.
dc.formatapplication/pdf
dc.identifier.doi10.1145/3457335.3461708
dc.identifier.urihttps://repositorio.ubiobio.cl/handle/123456789/11698
dc.languagespa
dc.publisherPROCEEDINGS OF THE WORKSHOP ON COMPUTATION-AWARE ALGORITHMIC DESIGN FOR CYBER-PHYSICAL SYSTEMS
dc.relation.uri10.1145/3457335.3461708
dc.rightsPUBLICADA
dc.titleCHALLENGES IN SET-VALUED MODEL-PREDICTIVE CONTROL
dc.typeACTA DE CONFERENCIA
dspace.entity.typePublication
ubb.EstadoPUBLICADA
ubb.Otra ReparticionDEPARTAMENTO DE INGENIERIA ELECTRICA Y ELECTRONICA
ubb.SedeCONCEPCIÓN
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