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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:scopusA 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:scopusThe advanced-step NMPC controller: Optimality, stability and robustness
ArticleAbstract: Widespread application of dynamic optimization with fast optimization solvers leads to increased conPalabras claves:Fast, Large-scale, Lyapunov functions, Nonlinear model pbkp_redictive control, nonlinear programming, sensitivity, stabilityAutores:Biegler L.T., Víctor M. ZavalaFuentes:scopusAdvanced step nonlinear model predictive control for air separation units
ArticleAbstract: Cryogenic air separation units constitute an integral part of many industrial processes and next genPalabras claves:Advanced step NMPC, Air separation units, Large-scale, Nonlinear model pbkp_redictive control, nonlinear programmingAutores:Biegler L.T., Huang R., 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:scopusFast implementations and rigorous models: Can both be accommodated in NMPC?
Conference ObjectAbstract: In less than two decades, nonlinear model predictive control has evolved from a conceptual frameworkPalabras claves:Collocation, finite elements, Nonlinear model pbkp_redictive control, nonlinear programming, Sensitivity AnalysisAutores:Biegler L.T., Laird C.D., Víctor M. ZavalaFuentes:scopusNonlinear programming strategies for state estimation and model predictive control
Conference ObjectAbstract: Sensitivity-based strategies for on-line moving horizon estimation (MHE) and nonlinear model predictPalabras claves:Interior-point methods, Large-scale, MHE, NMPC, nonlinear programming, sensitivity, Sparse linear algebraAutores: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 predictive control
ArticleAbstract: In this work, we present a general nonlinear model predictive control (NMPC) framework for low-densiPalabras claves:ECONOMICS, fouling, Large-scale, MHE, NMPC, nonlinear programming, PolyethyleneAutores:Biegler L.T., Víctor M. ZavalaFuentes:scopus