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
Table of Contents:
  • 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