Modelling and parameter estimation of dynamic systems /

Parameter estimation is the process of using observations from a system to develop mathematical models that adequately represent the system dynamics. The assumed model consists of a finite set of parameters, the values of which are calculated using estimation techniques. Most of the techniques that...

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Bibliographic Details
Main Author: Raol, J. R. 1947-
Corporate Author: Institution of Electrical Engineers.
Other Authors: Girija, G. 1954-, Singh, J., Ph. D.
Format: eBook
Language:English
Published: London : Institution of Electrical Engineers, 2004.
Series:IEE control engineering series ; 65.
Subjects:
Online Access:CONNECT
CONNECT
Description
Summary:Parameter estimation is the process of using observations from a system to develop mathematical models that adequately represent the system dynamics. The assumed model consists of a finite set of parameters, the values of which are calculated using estimation techniques. Most of the techniques that exist are based on least-square minimization of error between the model response and actual system response. However, with the proliferation of high speed digital computers, elegant and innovative techniques like filter error method, H-infinity and Artificial Neural Networks are finding more and mor.
Physical Description:1 online resource (xiv, 388 pages) : illustrations
Bibliography:Includes bibliographical references and index.
ISBN:9781849190374
1849190372
1281971537
9781281971531
9786611971533
661197153X