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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| Main Authors: | , , |
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| Corporate Author: | |
| Format: | Book |
| Language: | English |
| Published: |
London
The Institution of Electrical Engineers
2004
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| Series: | IEE control engineering series
65 |
| Subjects: | |
| Online Access: | Click Here to View Status and Holdings. |
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Add Tag | 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 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 |
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| Physical Description: | xiv, 388 pages illustrations 25 cm |
| Bibliography: | Includes bibliographical references (pages [299]-300) and index |
| ISBN: | 0863413633 9780863413636 |
Nonlinear parameter estimation