Nonlinear System Identification : NARMAX Methods in the Time, Frequency, and Spatio-Temporal Domains.

This book helps practitioners and researchers find ways to solve difficult nonlinear system identification problems using the well-established NARMAX method. It is a description of a class of system identification algorithms that can be used to identify nonlinear dynamic models from recorded data. W...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Billings, Stephen
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hoboken : Wiley, 2013.
Temas:
Nonlinear systems.
Nonlinear theories > Mathematical models.
Systems engineering.
Systèmes non linéaires.
Théories non linéaires > Modèles mathématiques.
Ingénierie des systèmes.
systems engineering.
TECHNOLOGY & ENGINEERING > Quality Control.
Nonlinear systems
Nonlinear theories > Mathematical models
Systems engineering
Acceso en línea:Texto completo
Descripción
Sumario:This book helps practitioners and researchers find ways to solve difficult nonlinear system identification problems using the well-established NARMAX method. It is a description of a class of system identification algorithms that can be used to identify nonlinear dynamic models from recorded data. Written with an emphasis on making algorithms and methods accessible so that they can be applied and used in practice, this book also addresses frequency and spatio-temporal methods rarely covered elsewhere, and which can provide significant insights into complex system behaviours.
Notas:3.3.1.2 Variants of the FROLS Algorithm.
Descripción Física:1 online resource (607 pages)
ISBN:9781118535547
1118535545
9781118535554
1118535553

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