Trends and Progress in System Identification (PDF)
Ifac Series for Graduates, Research Workers & Practising Engineers
(Sprache: Englisch)
Trends and Progress in System Identification is a three-part book that focuses on model considerations, identification methods, and experimental conditions involved in system identification.
Organized into 10 chapters, this book begins with a discussion...
Organized into 10 chapters, this book begins with a discussion...
sofort als Download lieferbar
eBook (pdf)
Fr. 82.90
inkl. MwSt.
- Kreditkarte, Paypal, Rechnung
- Kostenloser tolino webreader
Produktdetails
Produktinformationen zu „Trends and Progress in System Identification (PDF)“
Trends and Progress in System Identification is a three-part book that focuses on model considerations, identification methods, and experimental conditions involved in system identification.
Organized into 10 chapters, this book begins with a discussion of model method in system identification, citing four examples differing on the nature of the models involved, the nature of the fields, and their goals. Subsequent chapters describe the most important aspects of model theory; the ""classical"" methods and time series estimation; application of least squares and related techniques for the estimation of dynamic system parameters; the maximum likelihood and error prediction methods; and the modern development of statistical methods. Non-parametric approaches, identification of nonlinear systems by piecewise approximation, and the minimax identification are then explained. Other chapters explore the Bayesian approach to system identification; choice of input signals; and choice and effect of different feedback configurations in system identification.
This book will be useful for control engineers, system scientists, biologists, and members of other disciplines dealing withdynamical relations.
Organized into 10 chapters, this book begins with a discussion of model method in system identification, citing four examples differing on the nature of the models involved, the nature of the fields, and their goals. Subsequent chapters describe the most important aspects of model theory; the ""classical"" methods and time series estimation; application of least squares and related techniques for the estimation of dynamic system parameters; the maximum likelihood and error prediction methods; and the modern development of statistical methods. Non-parametric approaches, identification of nonlinear systems by piecewise approximation, and the minimax identification are then explained. Other chapters explore the Bayesian approach to system identification; choice of input signals; and choice and effect of different feedback configurations in system identification.
This book will be useful for control engineers, system scientists, biologists, and members of other disciplines dealing withdynamical relations.
Bibliographische Angaben
- 2014, 418 Seiten, Englisch
- Herausgegeben: Pieter Eykhoff
- Verlag: Elsevier Science & Techn.
- ISBN-10: 1483148661
- ISBN-13: 9781483148663
- Erscheinungsdatum: 20.05.2014
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Grösse: 67 MB
- Mit Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
Kopierschutz
Dieses eBook können Sie uneingeschränkt auf allen Geräten der tolino Familie lesen. Zum Lesen auf sonstigen eReadern und am PC benötigen Sie eine Adobe ID.
Kommentar zu "Trends and Progress in System Identification"
0 Gebrauchte Artikel zu „Trends and Progress in System Identification“
| Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
|---|
Schreiben Sie einen Kommentar zu "Trends and Progress in System Identification".
Kommentar verfassen