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A 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:scopusEfficient parallel solution of dae constrained optimization problems with loosely coupled algebraic components
Conference ObjectAbstract:Palabras claves:Autores:Biegler L.T., Laird C.D., Víctor M. ZavalaFuentes:scopusNonlinear programming strategies for state estimation and model pbkp_redictive control
Conference ObjectAbstract: Sensitivity-based strategies for on-line moving horizon estimation (MHE) and nonlinear model pbkp_rePalabras claves:Interior-point methods, Large-scale, MHE, NMPC, nonlinear programming, sensitivity, Sparse linear algebraAutores:Biegler L.T., 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:scopusLarge-scale nonlinear programming using IPOPT: An integrating framework for enterprise-wide dynamic optimization
ArticleAbstract: Integration of real-time optimization and control with higher level decision-making (scheduling andPalabras claves:Model Pbkp_redictive Control, Moving horizon estimation, nonlinear programming, Real-time optimization, sensitivityAutores:Biegler L.T., Víctor M. ZavalaFuentes:scopusOptimization-based strategies for the operation of low-density polyethylene tubular reactors: Moving horizon estimation
ArticleAbstract: We present a moving horizon estimation (MHE) application for multi-zone low-density (LDPE) polyethylPalabras claves:Discretization, Distributed reactors, Large-scale, LDPE, Moving horizon estimation, nonlinear programming, partial differential equations, UNCERTAINTYAutores:Biegler L.T., Víctor M. ZavalaFuentes:scopusOptimization-based strategies for the operation of low-density polyethylene tubular reactors: nonlinear model pbkp_redictive control
ArticleAbstract: In this work, we present a general nonlinear model pbkp_redictive control (NMPC) framework for low-dPalabras claves:ECONOMICS, fouling, Large-scale, MHE, NMPC, nonlinear programming, PolyethyleneAutores: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:scopusRobustly stable economic NMPC for non-dissipative stage costs
ArticleAbstract: We analyze the inherent robustness properties of an economic NMPC formulation in which the controllePalabras claves:ECONOMICS, Nonlinear control, Pbkp_redictive control, Robust stabilityAutores:Biegler L.T., Griffith D., Víctor M. ZavalaFuentes:scopuspyomo.dae: a modeling and automatic discretization framework for optimization with differential and algebraic equations
ArticleAbstract: We describe pyomo.dae, an open source Python-based modeling framework that enables high-level abstraPalabras claves:Algebraic modeling language, DAE constrained optimization, Dynamic optimization, Mathematical modeling, PDE constrained optimizationAutores:Biegler L.T., Nicholson B., Siirola J., Víctor M. Zavala, Watson J.Fuentes:scopus