Mostrando 5 resultados de: 5
Publisher
2016 IEEE 55th Conference on Decision and Control, CDC 2016(1)
Computers and Chemical Engineering(1)
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Ciencias de la computación(2)
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Economía financiera(1)
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Optimización matemática(3)
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Ingeniería de manufactura(1)
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Objetivos de Desarrollo Sostenible
ODS 9: Industria, innovación e infraestructura(5)
ODS 12: Producción y consumo responsables(2)
ODS 17: Alianzas para lograr los objetivos(2)
ODS 4: Educación de calidad(2)
ODS 7: Energía asequible y no contaminante(2)
Origen
scopus(5)
Characterizing the predictive accuracy of dynamic mode decomposition for data-driven control
Conference ObjectAbstract: Dynamic mode decomposition (DMD) is a versatile approach that enables the construction of low-orderPalabras claves:control, DATA, Dynamic mode decomposition, error bounds, Low-order modelsAutores:Lu Q., Shin S., Víctor M. ZavalaFuentes:scopusAn economic model predictive control framework for mechanical pulping processes
ArticleAbstract: We develop a multi-objective economic model predictive control (m-econ MPC) framework to control andPalabras claves:Economic model pbkp_redictive control, Mechanical pulping process, Moving horizon estimation, stabilityAutores:Gopaluni R.B., Lu Q., Olson J.A., Tian H., Víctor M. ZavalaFuentes:scopusBayesian optimization with reference models: A case study in MPC for HVAC central plants
ArticleAbstract: We present a framework for exploiting reference models in Bayesian optimization (BO). Our approach iPalabras claves:Bayesian optimization, HVAC Plants, MPC Tuning, Reference modelsAutores:González L.D., Kumar R., Lu Q., Víctor M. ZavalaFuentes:scopusImage-based model predictive control via dynamic mode decomposition
ArticleAbstract: We present a data-driven model predictive control (MPC) framework for systems with high state–spacePalabras claves:Data-driven, Dynamic mode decomposition, Image data, Model Pbkp_redictive Control, Model reductionAutores:Lu Q., Víctor M. ZavalaFuentes:scopusMultiobjective economic model predictive control of mechanical pulping processes
Conference ObjectAbstract: We present a multiobjective economic model predictive control (m-econ MPC) strategy to mitigate highPalabras claves:Autores:Gopaluni R.B., Lu Q., Tian H., Víctor M. ZavalaFuentes:scopus