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scopus(44)
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:scopusComputationally efficient, approximate moving horizon state estimation for nonlinear systems
Conference ObjectAbstract: Moving horizon estimation for discrete-time nonlinear systems is addressed by using fast optimizatioPalabras claves:Autores:Alessandri A., Baglietto M., Battistelli G., 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:scopusAn inertia-free filter line-search algorithm for large-scale nonlinear programming
ArticleAbstract: We present a filter line-search algorithm that does not require inertia information of the linear syPalabras claves:Filter line-search, Inertia, Large-scale, Nonconvex, nonlinear programmingAutores:Chiang N.Y., Víctor M. ZavalaFuentes:scopusA Chance-Constrained Nonlinear Programming Approach for Equipment Design Under Uncertainty
Book PartAbstract: In this work there are shown different strategies to cope uncertainty in large-scale chance-constraiPalabras claves:design, flares, sigmoid conditional value at risk, UNCERTAINTYAutores:Cao Y., Ponce-Ortega J.M., Tovar-Facio J., Víctor M. ZavalaFuentes:scopusA Julia Framework for Graph-Structured Nonlinear Optimization
ArticleAbstract: Graph theory provides a convenient framework for modeling and solving structured optimization problePalabras claves:Autores:Cole D.L., Shin S., Víctor M. ZavalaFuentes:scopusA computational framework for identifiability and ill-conditioning analysis of lithium-ion battery models
ArticleAbstract: The lack of informative experimental data and the complexity of first-principles battery models makePalabras claves:Autores:Flores-Tlacuahuac A., López D.C., Vasquez-Medrano R., Víctor M. Zavala, Wozny G.Fuentes:scopusA computational framework for quantifying and analyzing system flexibility
ArticleAbstract: We present a computational framework for analyzing and quantifying system flexibility. Our frameworkPalabras claves:Complex systems, Flexibility, UNCERTAINTYAutores:Pulsipher J.L., Rios D., Víctor M. ZavalaFuentes:scopusA computational framework for uncertainty quantification and stochastic optimization in unit commitment with wind power generation
ArticleAbstract: We present a computational framework for integrating a state-of-the-art numerical weather pbkp_redicPalabras claves:Closed-loop, economic dispatch, unit commitment, Weather forecasting, WindAutores:Anitescu M., Constantinescu E., Lee S., Rocklin M., Víctor M. ZavalaFuentes:scopusA fast computational framework for large-scale Moving Horizon Estimation
Conference ObjectAbstract: Moving Horizon Estimation (MHE) is an efficient optimization-based strategy for state estimation. DePalabras claves:Discretization, Estimation algorithms, finite elements, nonlinear programming, real-time, Sensitivity AnalysisAutores:Biegler L.T., Laird C.D., Víctor M. ZavalaFuentes:scopus