Identification of Dynamic Systems

Identification of Dynamic Systems
Author :
Publisher : Springer
Total Pages : 705
Release :
ISBN-13 : 3540871551
ISBN-10 : 9783540871552
Rating : 4/5 (52 Downloads)

Book Synopsis Identification of Dynamic Systems by : Rolf Isermann

Download or read book Identification of Dynamic Systems written by Rolf Isermann and published by Springer. This book was released on 2011-04-08 with total page 705 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


Identification of Dynamic Systems Related Books

Identification of Dynamic Systems
Language: en
Pages: 705
Authors: Rolf Isermann
Categories: Technology & Engineering
Type: BOOK - Published: 2011-04-08 - Publisher: Springer

DOWNLOAD EBOOK

Precise dynamic models of processes are required for many applications, ranging from control engineering to the natural sciences and economics. Frequently, such
Identification and Control of Mechanical Systems
Language: en
Pages: 0
Authors: Jer-Nan Juang
Categories: Technology & Engineering
Type: BOOK - Published: 2006-11-23 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

The control of vibrating systems is a significant issue in the design of aircraft, spacecraft, bridges, and high-rise buildings. This book discusses the control
Data-Driven Science and Engineering
Language: en
Pages: 615
Authors: Steven L. Brunton
Categories: Computers
Type: BOOK - Published: 2022-05-05 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

A textbook covering data-science and machine learning methods for modelling and control in engineering and science, with Python and MATLABĀ®.
Modal Analysis Topics, Volume 3
Language: en
Pages: 568
Authors: Tom Proulx
Categories: Technology & Engineering
Type: BOOK - Published: 2011-03-18 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Modal Analysis Topics Volume 3. Proceedings of the 29th IMAC, A Conference and Exposition on Structural Dynamics, 2011, the third volume of six from the Confere
Nonlinear System Identification
Language: en
Pages: 611
Authors: Stephen A. Billings
Categories: Technology & Engineering
Type: BOOK - Published: 2013-07-29 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

Nonlinear System Identification: NARMAX Methods in the Time, Frequency, and Spatio-Temporal Domains describes a comprehensive framework for the identification a