Verfügbarkeit: Nonlinear Predictive Control Using Wiener Models

Nonlinear Predictive Control Using Wiener Models: Computationally Efficient Approaches for Polynomial and Neural Structures

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Bibliographische Detailangaben
Beteilige Person:	Ławryńczuk, Maciej (VerfasserIn)
Format:	Elektronisch E-Book
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 2022 Cham Springer
Ausgabe:	1st ed. 2022
Schriftenreihe:	Studies in Systems, Decision and Control 389
Schlagwörter:	Control, Robotics, Automation Applied Dynamical Systems Control engineering Robotics Automation Dynamics Nonlinear theories
Links:	https://doi.org/10.1007/978-3-030-83815-7 https://doi.org/10.1007/978-3-030-83815-7 https://doi.org/10.1007/978-3-030-83815-7 https://doi.org/10.1007/978-3-030-83815-7 https://doi.org/10.1007/978-3-030-83815-7 https://doi.org/10.1007/978-3-030-83815-7 https://doi.org/10.1007/978-3-030-83815-7 https://doi.org/10.1007/978-3-030-83815-7 https://doi.org/10.1007/978-3-030-83815-7 https://doi.org/10.1007/978-3-030-83815-7 https://doi.org/10.1007/978-3-030-83815-7 https://doi.org/10.1007/978-3-030-83815-7 https://doi.org/10.1007/978-3-030-83815-7 https://doi.org/10.1007/978-3-030-83815-7 https://doi.org/10.1007/978-3-030-83815-7 https://doi.org/10.1007/978-3-030-83815-7 https://doi.org/10.1007/978-3-030-83815-7 https://doi.org/10.1007/978-3-030-83815-7 https://doi.org/10.1007/978-3-030-83815-7 https://doi.org/10.1007/978-3-030-83815-7 https://doi.org/10.1007/978-3-030-83815-7 https://doi.org/10.1007/978-3-030-83815-7 https://doi.org/10.1007/978-3-030-83815-7
Umfang:	1 Online-Ressource (XXIII, 343 p. 167 illus., 121 illus. in color)
ISBN:	9783030838157
ISSN:	2198-4190
DOI:	10.1007/978-3-030-83815-7

Internformat

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series2	Studies in Systems, Decision and Control
spellingShingle	Ławryńczuk, Maciej Nonlinear Predictive Control Using Wiener Models Computationally Efficient Approaches for Polynomial and Neural Structures Control, Robotics, Automation Applied Dynamical Systems Control engineering Robotics Automation Dynamics Nonlinear theories
title	Nonlinear Predictive Control Using Wiener Models Computationally Efficient Approaches for Polynomial and Neural Structures
title_auth	Nonlinear Predictive Control Using Wiener Models Computationally Efficient Approaches for Polynomial and Neural Structures
title_exact_search	Nonlinear Predictive Control Using Wiener Models Computationally Efficient Approaches for Polynomial and Neural Structures
title_full	Nonlinear Predictive Control Using Wiener Models Computationally Efficient Approaches for Polynomial and Neural Structures by Maciej Ławryńczuk
title_fullStr	Nonlinear Predictive Control Using Wiener Models Computationally Efficient Approaches for Polynomial and Neural Structures by Maciej Ławryńczuk
title_full_unstemmed	Nonlinear Predictive Control Using Wiener Models Computationally Efficient Approaches for Polynomial and Neural Structures by Maciej Ławryńczuk
title_short	Nonlinear Predictive Control Using Wiener Models
title_sort	nonlinear predictive control using wiener models computationally efficient approaches for polynomial and neural structures
title_sub	Computationally Efficient Approaches for Polynomial and Neural Structures
topic	Control, Robotics, Automation Applied Dynamical Systems Control engineering Robotics Automation Dynamics Nonlinear theories
topic_facet	Control, Robotics, Automation Applied Dynamical Systems Control engineering Robotics Automation Dynamics Nonlinear theories
url	https://doi.org/10.1007/978-3-030-83815-7
work_keys_str_mv	AT ławrynczukmaciej nonlinearpredictivecontrolusingwienermodelscomputationallyefficientapproachesforpolynomialandneuralstructures

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