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Identification and Control of Dynamic Plants Using Fuzzy Wavelet Neural Networks (Abiyev, Rahib H.,)
Bibliographical information (record 264044)
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Identification and Control of Dynamic Plants Using Fuzzy Wavelet Neural Networks
Author:
 Abiyev, Rahib H., Search Author in Amazon Books

Publisher:
IEEE,
ISBN:
 978-1-4244-2224-1
Edition:
 2008.
Classification:
 TJ211
Detailed notes
    - This paper presents a Fuzzy Wavelet Neural Network (FWNN) for identification and control of a dynamic plant. The FWNN is constructed on the basis of fuzzy rules that incorporate wavelet functions in their consequent parts. The architecture of the control system is presented and the parameter update rules of the system are derived. Learning rules are based on the gradient decent method and Genetic Algorithm (GA). The structure is tested for the identification and the control of the dynamic plants commonly used in the literature. It is shown that the proposed structure results in a better performance despite its smaller parameter space.
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Library
Section
EOL-27
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NEU Grand LibraryOnline (TJ211 .I34 2008)
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