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Identification and Control of Time-Varying Plants Using Type-2 Fuzzy Neural System (Abiyev, Rahib H.,)
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Identification and Control of Time-Varying Plants Using Type-2 Fuzzy Neural System
Author:
 Abiyev, Rahib H., Search Author in Amazon Books

Publisher:
IEEE,
Edition:
 2009.
Classification:
 TK5105.5
Detailed notes
    - In this paper the identification and control of dynamic plants using type-2 TSK fuzzy neural system (FNS) is considered. The systems constructed on the base of type-1 fuzzy systems cannot directly handle the uncertainties associated with information or data in the knowledge base of the process. One possible way to alleviate the problem is to resort to the use of type-2 fuzzy systems. In this paper, a type-2 TSK fuzzy neural system (FNS), is proposed and its gradient learning algorithm is derived. Its performance for identification and control of time-varying plants is evaluated and compared with other approaches seen in the literature; the time-varying nature of the plants being handled as uncertainties in the plant coefficients which can be described by type-2 fuzzy sets.
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Status
Library
Section
EOL-24
Item available
NEU Grand LibraryOnline (TK5105.5 .I34 2009)
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