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:
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100 1 |a Raol, J. R.  |q (Jitendra R.),  |d 1947- 
245 1 0 |a Modelling and parameter estimation of dynamic systems /  |c J.R. Raol, G. Girija and J. Singh. 
260 |a London :  |b Institution of Electrical Engineers,  |c 2004. 
300 |a 1 online resource (xiv, 388 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
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490 1 |a IEE control engineering series ;  |v 65 
504 |a Includes bibliographical references and index. 
588 0 |a Print version record. 
505 0 |a Preface; Acknowledgements; 1 Introduction; 2 Least squares methods; 3 Output error method; 4 Filtering methods; 5 Filter error method; 6 Determination of model order and structure; 7 Estimation before modelling approach; 8 Approach based on the concept of model error; 9 Parameter estimation approaches for unstable/augmented systems; 10 Parameter estimation using artificial neural networks and genetic algorithms; 11 Real-time parameter estimation; Bibliography; Appendix A: Properties of signals, matrices, estimators and estimates; Appendix B: Aircraft models for parameter estimation 
520 |a 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. 
546 |a English. 
590 |a EBSCO eBook Academic Comprehensive Collection North America 
650 0 |a Parameter estimation. 
650 0 |a Mathematical models. 
700 1 |a Girija, G.  |q (Gopalrathnam),  |d 1954- 
700 1 |a Singh, J.,  |c Ph. D. 
710 2 |a Institution of Electrical Engineers. 
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