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Nonlinear 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 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: 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:scopus