Verwandte Artikel zu Nonlinear System Identification: From Classical Approaches...
Nonlinear System Identification: From Classical Approaches to Neural Networks and Fuzzy Models - Hardcover
Inhaltsangabe
Written from an engineering point of view, this book covers the most common and important approaches for the identification of nonlinear static and dynamic systems. The book also provides the reader with the necessary background on optimization techniques, making it fully self-contained. The new edition includes exercises.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Reseña del editor
Written from an engineering point of view, this book covers the most common and important approaches for the identification of nonlinear static and dynamic systems. The book also provides the reader with the necessary background on optimization techniques, making it fully self-contained. The new edition includes exercises.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
- VerlagSpringer
- Erscheinungsdatum2000
- ISBN 10 3540673695
- ISBN 13 9783540673699
- EinbandTapa dura
- SpracheEnglisch
- Anzahl der Seiten808
- Kontakt zum HerstellerNicht verfügbar
Gebraucht kaufen
Zustand: AusreichendSupports Goodwill of Silicon Valley...
Diesen Artikel anzeigen
EUR 23,28
EUR 79,17 für den Versand von USA nach Deutschland
Versandziele, Kosten & DauerNeu kaufen
Diesen Artikel anzeigen
EUR 132,75
Gratis für den Versand innerhalb von/der Deutschland
Versandziele, Kosten & Dauer
Suchergebnisse für Nonlinear System Identification: From Classical Approaches...
Foto des Verkäufers
Nonlinear System Identification: From Classical Approaches to Neural Networks and Fuzzy Models
Anbieter: Goodwill of Silicon Valley, SAN JOSE, CA, USA
Verkäuferbewertung 4 von 5 Sternen
Zustand: acceptable. Supports Goodwill of Silicon Valley job training programs. The cover and pages are in Acceptable condition! Any other included accessories are also in Acceptable condition showing use. Use can include some highlighting and writing, page and cover creases as well as other types visible wear such as cover tears discoloration, staining, marks, scuffs, etc. All pages intact. Bestandsnummer des Verkäufers GWSVV.3540673695.A
Anzahl: 1 verfügbar
Foto des Verkäufers
Nonlinear System Identification
Print-on-DemandAnbieter: moluna, Greven, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Easy and intuitive understandingMany figuresExplanations and terminology from an engineering point-of-viewOnly basic mathematics requiredSelf-contained, no other literature neededWritten from an engineering point of view, this book co. Bestandsnummer des Verkäufers 4898172
Anzahl: Mehr als 20 verfügbar
Foto des Verkäufers
Nonlinear System Identification
ISBN 10: 3540673695
ISBN 13: 9783540673699
Neu
Buch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Buch. Zustand: Neu. Neuware -The goal of this book is to provide engineers and scientIsts in academia and industry with a thorough understanding of the underlying principles of nonlinear system identification. The reader will be able to apply the discussed models and methods to real problems with the necessary confidence and the awareness of potential difficulties that may arise in practice. This book is self-contained in the sense that it requires merely basic knowledge of matrix algebra, signals and systems, and statistics. Therefore, it also serves as an introduction to linear system identification and gives a practical overview on the major optimization methods used in engineering. The emphasis of this book is on an intuitive understanding of the subject and the practical application of the discussed techniques. It is not written in a theorem/proof style; rather the mathematics is kept to a minimum and the pursued ideas are illustrated by numerous figures, examples, and real-world applications. Fifteen years ago, nonlinear system identification was a field of several ad-hoc approaches, each applicable only to a very restricted class of systems. With the advent of neural networks, fuzzy models, and modern structure opti mization techniques a much wider class of systems can be handled. Although one major characteristic of nonlinear systems is that almost every nonlinear system is unique, tools have been developed that allow the use of the same ap proach for a broad variety of systems.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 808 pp. Englisch. Bestandsnummer des Verkäufers 9783540673699
Anzahl: 2 verfügbar
Foto des Verkäufers
Nonlinear System Identification : From Classical Approaches to Neural Networks and Fuzzy Models
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The goal of this book is to provide engineers and scientIsts in academia and industry with a thorough understanding of the underlying principles of nonlinear system identification. The reader will be able to apply the discussed models and methods to real problems with the necessary confidence and the awareness of potential difficulties that may arise in practice. This book is self-contained in the sense that it requires merely basic knowledge of matrix algebra, signals and systems, and statistics. Therefore, it also serves as an introduction to linear system identification and gives a practical overview on the major optimization methods used in engineering. The emphasis of this book is on an intuitive understanding of the subject and the practical application of the discussed techniques. It is not written in a theorem/proof style; rather the mathematics is kept to a minimum and the pursued ideas are illustrated by numerous figures, examples, and real-world applications. Fifteen years ago, nonlinear system identification was a field of several ad-hoc approaches, each applicable only to a very restricted class of systems. With the advent of neural networks, fuzzy models, and modern structure opti mization techniques a much wider class of systems can be handled. Although one major characteristic of nonlinear systems is that almost every nonlinear system is unique, tools have been developed that allow the use of the same ap proach for a broad variety of systems. Bestandsnummer des Verkäufers 9783540673699
Anzahl: 1 verfügbar
Foto des Verkäufers
Nonlinear System Identification
Verlag:
Springer Berlin Heidelberg Nov 2000, 2000
ISBN 10: 3540673695
ISBN 13: 9783540673699
Neu
Buch
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Buch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The goal of this book is to provide engineers and scientIsts in academia and industry with a thorough understanding of the underlying principles of nonlinear system identification. The reader will be able to apply the discussed models and methods to real problems with the necessary confidence and the awareness of potential difficulties that may arise in practice. This book is self-contained in the sense that it requires merely basic knowledge of matrix algebra, signals and systems, and statistics. Therefore, it also serves as an introduction to linear system identification and gives a practical overview on the major optimization methods used in engineering. The emphasis of this book is on an intuitive understanding of the subject and the practical application of the discussed techniques. It is not written in a theorem/proof style; rather the mathematics is kept to a minimum and the pursued ideas are illustrated by numerous figures, examples, and real-world applications. Fifteen years ago, nonlinear system identification was a field of several ad-hoc approaches, each applicable only to a very restricted class of systems. With the advent of neural networks, fuzzy models, and modern structure opti mization techniques a much wider class of systems can be handled. Although one major characteristic of nonlinear systems is that almost every nonlinear system is unique, tools have been developed that allow the use of the same ap proach for a broad variety of systems. 808 pp. Englisch. Bestandsnummer des Verkäufers 9783540673699
Anzahl: 2 verfügbar
Beispielbild für diese ISBN
Nonlinear System Identification: From Classical Approaches to Neural Networks and Fuzzy Models
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. In. Bestandsnummer des Verkäufers ria9783540673699_new
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
Nonlinear System Identification: From Classical Approaches to Neural Networks and Fuzzy Models
Anbieter: California Books, Miami, FL, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. Bestandsnummer des Verkäufers I-9783540673699
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
Nonlinear System Identification: From Classical Approaches to Neural Networks and Fuzzy Models
Anbieter: Lucky's Textbooks, Dallas, TX, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. Bestandsnummer des Verkäufers ABLIING23Mar3113020174584
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
Nonlinear System Identification: From Classical Approaches to Neural Networks and Fuzzy Models
Anbieter: BennettBooksLtd, North Las Vegas, NV, USA
Verkäuferbewertung 5 von 5 Sternen
hardcover. Zustand: New. In shrink wrap. Looks like an interesting title! Bestandsnummer des Verkäufers SL-3540673695
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Nonlinear System Identification: From Classical Approaches to Neural Networks and Fuzzy Models
Anbieter: BennettBooksLtd, North Las Vegas, NV, USA
Verkäuferbewertung 5 von 5 Sternen
hardcover. Zustand: New. In shrink wrap. Looks like an interesting title! Bestandsnummer des Verkäufers Q-3540673695
Anzahl: 1 verfügbar