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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: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:scopus