Modelling and Parameter Estimation of Dynamic Systems

by J.R. Raol, G. Girija, J. Singh

Overview

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 minimisation of error between the model response and actual system response. However, with the proliferation of highspeed digital computers, elegant and innovative techniques like filter error method, genetic algorithms and artificial neural networks are finding more and more use in parameter estimation problems. Modelling and Parameter Estimation of Dynamic Systems presents a detailed examination of many estimation techniques and modelling problems.

Product Details

ISBN-13:	9780863413636
Publisher:	The Institution of Engineering and Technology
Publication date:	08/13/2004
Series:	Control, Robotics and Sensors , #65
Pages:	404
Product dimensions:	6.14(w) x 9.21(h) x (d)

About the Author

J.R. Raol has B.E. and M.E. degrees in Electrical Engineering from M.S. Universityof Baroda, and a Ph.D. from McMaster University, Canada. He is a senior member of the IEEE (USA), life Fellow of the Aeronautical Society of India, life member of the System Society of India and senior scientist with National Aerospace Laboratories (NAL). Dr Raol has written around 100 publications and his research interests include multi-sensor data fusion, parameter estimation and artificial intelligence.

G. Girija has M.Sc. and Ph.D. degrees from Bangalore Universityand has written around 50 publications. Dr Girija currently works as a senior scientist at NAL, is a recipient of the NAL Foundation Day Award and is a life member of the Aeronautical Society of India. Her research areas are parameter estimation of aerospace vehicles and multi-sensor data fusion.

J. Singh has a Ph.D. in Aerospace Engineering from IIT Kanpur. He is a recipient of the Alexander von Humboldt Fellowship and has worked as a guest scientist at DLR-Institute for Flight Systems, Germany. He is a senior member of the AIAA and a life member of the Aeronautical Society of India and System Society of India. He currently works as a scientist at NAL and is a recipient of the NIL Foundation Day Award. His research areas are aircraft modelling and parameter estimation.

Table of Contents

• Chapter 1: Introduction
• Chapter 2: Least squares methods
• Chapter 3: Output error method
• Chapter 4: Filtering methods
• Chapter 5: Filter error method
• Chapter 6: Determination of model order and structure
• Chapter 7: Estimation before modelling approach
• Chapter 8: Approach based on the concept of model error
• Chapter 9: Parameter estimation approaches for unstable/augmented
• Chapter 10: Parameter estimation using artificial neural networks and genetic
• Chapter 11: Real-time parameter estimation
• Appendices

Editorial Reviews

'while this book would be of interest to the general reader, it is of particular appeal to science and engineering students at all levels. It also presents a definite benefit to practising engineers and lecturers who are engaged in parameter estimation work. I found this an enthralling read, which now has a prominent place on my bookshelf - it certainly will be referred to in the future.'

Measurement & Control - Karl O. Jones