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2010, ISBN: 3540788786

Precise dynamic models of processes are required for many applications, ranging from control engineering to the natural sciences and economics. Frequently, such precise models cannot be d… Mehr…

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[EAN: 9783540788782], Neubuch, [PU: Berlin Springer Berlin Heidelberg Springer], SYSTEM IDENTIFICATION, FREQUENCY RESPONSE, LINEAR SYSTEMS, NONLINEAR PARAMETER ESTIMATION, COMPLEXITY, nac… Mehr…

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Identification of Dynamical Systems / An Introduction with Applications / Rolf Isermann (u. a.) / Buch / Book w. online files / update / xxv / Englisch / 2010 / Springer / EAN 9783540788782 - Isermann, Rolf
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Isermann, Rolf:
Identification of Dynamical Systems / An Introduction with Applications / Rolf Isermann (u. a.) / Buch / Book w. online files / update / xxv / Englisch / 2010 / Springer / EAN 9783540788782 - neues Buch

2010

ISBN: 9783540788782

[PU: Springer], For many applications, ranging from controls engineering to natural sciences and economics, precise dynamic models must be derived. In the vast majority of applications, s… Mehr…

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Isermann, Rolf, Münchhof, Marco:
Identification of Dynamic Systems: An Introduction with Applications - gebunden oder broschiert

2010, ISBN: 9783540788782

Springer, Gebundene Ausgabe, Auflage: 2011, 730 Seiten, Publiziert: 2010-12-04T00:00:01Z, Produktgruppe: Buch, Hersteller-Nr.: 28439158, 5.8 kg, Verkaufsrang: 1223291, Informatik, IT-Ausb… Mehr…

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Identification of Dynamic Systems: An Introduction with Applications - Isermann, Rolf, Münchhof, Marco
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Isermann, Rolf, Münchhof, Marco:
Identification of Dynamic Systems: An Introduction with Applications - gebunden oder broschiert

2010, ISBN: 9783540788782

Springer, Gebundene Ausgabe, Auflage: 2011, 730 Seiten, Publiziert: 2010-12-04T00:00:01Z, Produktgruppe: Buch, Hersteller-Nr.: 28439158, 2.63 kg, Verkaufsrang: 868344, Informatik, IT-Ausb… Mehr…

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Details zum Buch
Identification of Dynamic Systems: An Introduction with Applications

Precise dynamic models of processes are required for many applications, ranging from control engineering to the natural sciences and economics. Frequently, such precise models cannot be derived using theoretical considerations alone. Therefore, they must be determined experimentally. This book treats the determination of dynamic models based on measurements taken at the process, which is known as system identification or process identification. Both offline and online methods are presented, i.e. methods that post-process the measured data as well as methods that provide models during the measurement. The book is theory-oriented and application-oriented and most methods covered have been used successfully in practical applications for many different processes. Illustrative examples in this book with real measured data range from hydraulic and electric actuators up to combustion engines. Real experimental data is also provided on the Springer webpage, allowing readers to gather their first experience with the methods presented in this book. Among others, the book covers the following subjects: determination of the non-parametric frequency response, (fast) Fourier transform, correlation analysis, parameter estimation with a focus on the method of Least Squares and modifications, identification of time-variant processes, identification in closed-loop, identification of continuous time processes, and subspace methods. Some methods for nonlinear system identification are also considered, such as the Extended Kalman filter and neural networks. The different methods are compared by using a real three-mass oscillator process, a model of a drive train. For many identification methods, hints for the practical implementation and application are provided. The book is intended to meet the needs of students and practicing engineers working in research and development, design and manufacturing.

Detailangaben zum Buch - Identification of Dynamic Systems: An Introduction with Applications


EAN (ISBN-13): 9783540788782
ISBN (ISBN-10): 3540788786
Gebundene Ausgabe
Erscheinungsjahr: 2011
Herausgeber: Springer
705 Seiten
Gewicht: 1,198 kg
Sprache: Englisch

Buch in der Datenbank seit 2008-12-02T05:27:31+01:00 (Vienna)
Detailseite zuletzt geändert am 2024-01-24T20:06:05+01:00 (Vienna)
ISBN/EAN: 9783540788782

ISBN - alternative Schreibweisen:
3-540-78878-6, 978-3-540-78878-2
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: rolf isermann, münch, munch, iser
Titel des Buches: introduction applications, signal, identification dynamic system, introduction dynamical systems, rolf


Daten vom Verlag:

Autor/in: Rolf Isermann; Marco Münchhof
Titel: Identification of Dynamic Systems - An Introduction with Applications
Verlag: Springer; Springer Berlin
705 Seiten
Erscheinungsjahr: 2010-12-04
Berlin; Heidelberg; DE
Gedruckt / Hergestellt in Niederlande.
Gewicht: 2,630 kg
Sprache: Englisch
106,99 € (DE)
109,99 € (AT)
118,00 CHF (CH)
POD
XXV, 705 p. With Based on the book: Isermann: Identifikation dynamischer Systeme 1, 2. With online files/update.

BB; Complexity; Hardcover, Softcover / Technik/Allgemeines, Lexika; Mathematik für Ingenieure; Verstehen; Ingenieurwissenschaften; Frequency Response; Linear Systems; Nonlinear Systems; Parameter Estimation; System Identification; complexity; Calculus of Variations and Optimal Control; Optimization; Simulation and Modeling; Numerical and Computational Physics, Simulation; Applied Dynamical Systems; Calculus of Variations and Optimization; Computer Modelling; Theoretical, Mathematical and Computational Physics; Kybernetik und Systemtheorie; Optimierung; Computermodellierung und -simulation; Mathematische Physik; BC; EA

Precise dynamic models of processes are required for many applications, ranging from control engineering to the natural sciences and economics. Frequently, such precise models cannot be derived using theoretical considerations alone. Therefore, they must be determined experimentally. This book treats the determination of dynamic models based on measurements taken at the process, which is known as system identification or process identification. Both offline and online methods are presented, i.e. methods that post-process the measured data as well as methods that provide models during the measurement. The book is theory-oriented and application-oriented and most methods covered have been used successfully in practical applications for many different processes. Illustrative examples in this book with real measured data range from hydraulic and electric actuators, machine tools, industrial robots, pumps, vehicles  to combustion engines. Real experimental data is also provided on the Springer webpage, allowing readers to gather their first experience with the methods presented in this book.Among others, the book covers the following subjects: determination of the nonparametric frequency response, (fast) Fourier transform, correlation analysis, parameter estimation with a focus on the method of Least Squares and modifications, identification of time-variant processes, identification in closed-loop, identification of continuous time processes, and subspace methods. Some methods for nonlinear system identification are also considered, such as the Extended Kalman filter and neural networks. The different methods are compared by using a real three-mass oscillator process, a model of a drive train. For many identification methods, hints for the practical implementation and application are provided. The book is intended to meet the needs of students and practicing engineers working in research and development, design and manufacturing.

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