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A fast moving horizon estimation algorithm based on nonlinear programming sensitivity
ArticleAbstract: Moving horizon estimation (MHE) is an efficient optimization-based strategy for state estimation. DePalabras claves:Estimation algorithms, Large-scale, nonlinear programming, real-time, Sensitivity AnalysisAutores:Biegler L.T., Laird C.D., Víctor M. ZavalaFuentes:scopusFast implementations and rigorous models: Can both be accommodated in NMPC?
Conference ObjectAbstract: In less than two decades, nonlinear model pbkp_redictive control has evolved from a conceptual framePalabras claves:Collocation, finite elements, Nonlinear model pbkp_redictive control, nonlinear programming, Sensitivity AnalysisAutores:Biegler L.T., Laird C.D., Víctor M. ZavalaFuentes:scopusLarge-scale nonlinear programming strategies for the operation of LDPE tubular reactors
ArticleAbstract: There is substantial economic interest to optimize the operations of low-density polyethylene (LDPE)Palabras claves:ECONOMICS, large-scale optimization, LDPE, Operations, tubular reactorAutores:Biegler L.T., Víctor M. ZavalaFuentes:scopusInterior-point decomposition approaches for parallel solution of large-scale nonlinear parameter estimation problems
ArticleAbstract: Multi-scenario optimization is a convenient way to formulate and solve multi-set parameter estimatioPalabras claves:Collocation, Dynamic optimization, nonlinear programming, Parameter estimationAutores:Biegler L.T., Laird C.D., Víctor M. ZavalaFuentes:scopusThe min-max robust design of advanced-step Nmpc controller
Conference ObjectAbstract:Palabras claves:Autores:Biegler L.T., Huang R., Víctor M. ZavalaFuentes:scopus