Verfügbarkeit: Nonlinear system identification | Technische Universität München

Nonlinear system identification: from classical approaches to neural networks, Fuzzy models, and Gaussian processes

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Bibliographische Detailangaben
Beteilige Person:	Nelles, Oliver 1969- (VerfasserIn)
Format:	Elektronisch E-Book
Sprache:	Englisch
Veröffentlicht:	Cham Springer [2020]
Ausgabe:	Second edition
Schlagwörter:	Applications of Nonlinear Dynamics and Chaos Theory Control and Systems Theory Control, Robotics, Mechatronics Complexity Calculus of Variations and Optimal Control; Optimization Simulation and Modeling Statistical physics Control engineering Robotics Mechatronics Computational complexity Calculus of variations Computer simulation Nichtlineares dynamisches System Systemidentifikation
Links:	https://doi.org/10.1007/978-3-030-47439-3 https://doi.org/10.1007/978-3-030-47439-3 https://doi.org/10.1007/978-3-030-47439-3 https://ebookcentral.proquest.com/lib/augsburg/detail.action?docID=6347278 https://doi.org/10.1007/978-3-030-47439-3 https://doi.org/10.1007/978-3-030-47439-3 https://doi.org/10.1007/978-3-030-47439-3 https://doi.org/10.1007/978-3-030-47439-3 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032352459&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
Umfang:	1 Online-Ressource (xxviii, 1225 Seiten) Illustrationen (farbig)
ISBN:	9783030474393
DOI:	10.1007/978-3-030-47439-3

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spellingShingle	Nelles, Oliver 1969- Nonlinear system identification from classical approaches to neural networks, Fuzzy models, and Gaussian processes Applications of Nonlinear Dynamics and Chaos Theory Control and Systems Theory Control, Robotics, Mechatronics Complexity Calculus of Variations and Optimal Control; Optimization Simulation and Modeling Statistical physics Control engineering Robotics Mechatronics Computational complexity Calculus of variations Computer simulation Nichtlineares dynamisches System (DE-588)4126142-2 gnd Systemidentifikation (DE-588)4121753-6 gnd
subject_GND	(DE-588)4126142-2 (DE-588)4121753-6
title	Nonlinear system identification from classical approaches to neural networks, Fuzzy models, and Gaussian processes
title_auth	Nonlinear system identification from classical approaches to neural networks, Fuzzy models, and Gaussian processes
title_exact_search	Nonlinear system identification from classical approaches to neural networks, Fuzzy models, and Gaussian processes
title_full	Nonlinear system identification from classical approaches to neural networks, Fuzzy models, and Gaussian processes Oliver Nelles
title_fullStr	Nonlinear system identification from classical approaches to neural networks, Fuzzy models, and Gaussian processes Oliver Nelles
title_full_unstemmed	Nonlinear system identification from classical approaches to neural networks, Fuzzy models, and Gaussian processes Oliver Nelles
title_short	Nonlinear system identification
title_sort	nonlinear system identification from classical approaches to neural networks fuzzy models and gaussian processes
title_sub	from classical approaches to neural networks, Fuzzy models, and Gaussian processes
topic	Applications of Nonlinear Dynamics and Chaos Theory Control and Systems Theory Control, Robotics, Mechatronics Complexity Calculus of Variations and Optimal Control; Optimization Simulation and Modeling Statistical physics Control engineering Robotics Mechatronics Computational complexity Calculus of variations Computer simulation Nichtlineares dynamisches System (DE-588)4126142-2 gnd Systemidentifikation (DE-588)4121753-6 gnd
topic_facet	Applications of Nonlinear Dynamics and Chaos Theory Control and Systems Theory Control, Robotics, Mechatronics Complexity Calculus of Variations and Optimal Control; Optimization Simulation and Modeling Statistical physics Control engineering Robotics Mechatronics Computational complexity Calculus of variations Computer simulation Nichtlineares dynamisches System Systemidentifikation
url	https://doi.org/10.1007/978-3-030-47439-3 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032352459&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
work_keys_str_mv	AT nellesoliver nonlinearsystemidentificationfromclassicalapproachestoneuralnetworksfuzzymodelsandgaussianprocesses

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