Modelling Parameter Estimation Dynamic by Raol J R (14 results)
Language: English
Published by Institution of Engineering & Technology, 2004
- Hardcover
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Condition: Very Good. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
Language: English
Published by The Institution of Engineering and Technology, 2004
- Hardcover
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Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Language: English
Published by The Institution of Engineering and Technology, 2004
- Hardcover
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Language: English
Published by The Institution of Engineering and Technology, 2004
- Hardcover
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Language: English
Published by Institution of Engineering and Technology, GB, 2004
- Hardcover
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Hardback. Condition: New. 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. …
Language: English
Published by The Institution of Engineering and Technology, 2004
- Hardcover
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Language: English
Published by The Institution of Engineering and Technology, 2004
- Hardcover
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Language: English
Published by The Institution of Engineering and Technology, 2004
- Hardcover
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Language: English
Published by Institution of Engineering and Technology, 2004
- Hardcover
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Language: English
Published by Institution of Engineering and Technology, GB, 2004
- Hardcover
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Hardback. Condition: New. 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. …
- Hardcover
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Condition: New. Über den AutorrnrnJ.R. Raol has B.E. and M.E. degrees in Electrical Engineering from M.S. University of Baroda, and a Ph.D. from McMaster University, Canada. He is a senior member of the IEEE (USA), life Fellow of the Aeronautical Societ.
- Hardcover
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Hardcover. Condition: Brand New. illustrated edition. 408 pages. 9.25x6.25x1.25 inches. In Stock.
Language: English
Published by Institution of Engineering and Technology, 2004
- Hardcover
Seller: BUCHSERVICE / ANTIQUARIAT Lars Lutzer, Wahlstedt, GermanyBUCHSERVICE / ANTIQUARIAT Lars Lutzer
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Condition: gut. Modelling And Parameter Estimation Of Dynamic Systems (Control, Robotics and Sensors) In englischer Sprache. pages.
Language: English
Published by Institution Of Engineering & Technology Aug 2004, 2004
- Hardcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Buch. Condition: Neu. Neuware - 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.…
