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Characterizing the pbkp_redictive 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:scopusControllability and observability imply exponential decay of sensitivity in dynamic optimization
Conference ObjectAbstract: We study a property of dynamic optimization (DO) problems (as those encountered in model pbkp_redictPalabras claves:Model Pbkp_redictive Control, Moving horizon estimation, Nonlinear, Sensitivity AnalysisAutores:Shin S., Víctor M. ZavalaFuentes:scopusGraph-based modeling and decomposition of energy infrastructures
Conference ObjectAbstract: Nonlinear optimization problems are found at the heart of real-time operations of critical infrastruPalabras claves:decomposition, energy systems, GRAPHS, Nonlinear optimizationAutores:Coffrin C., Shin S., Sundar K., Víctor M. ZavalaFuentes:scopus