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scopus(5)
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: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: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:scopusSecond-Order Multiplier Updates to Accelerate Admm Methods in Optimization Under Uncertainty
Book PartAbstract: There is a need for efficient optimization strategies to efficiently solve large-scale, nonlinear opPalabras claves:ADMM, Augmented Lagrangian, decomposition, nonlinear programmingAutores:Hackebeil G., Laird C.D., Rodriguez J.S., Siirola J., Víctor M. ZavalaFuentes:scopus