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Titre :
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Water Bath Temperature Control by a Recurrent Fuzzy Controller and its FPGA Implementation (2006)
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Titre original :
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Commande de Température de Bain d'Eau par un Contrôleur Brouillé Récurrent et son Exécution de FPGA
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Auteurs :
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Juang, Chia-Feng, Auteur ;
Chen, Jung-Shing, Auteur
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Type de document :
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Article : texte imprimé
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Dans :
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IEEE transactions on industrial electronics (Vol. 53 N° 3, Juin 2006)
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Article en page(s) :
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941- 949 p.
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Note générale :
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Génie Electrique
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Langues :
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Anglais
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Index. décimale :
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621 (Ingénierie mécanique en général. Technologie nucléaire. Ingénierie électrique. Machinerie)
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Tags :
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Direct inverse control Fuzzy chip Neural-network Structure/parameter learning.Commande directe Morceau brouillé Commande brouillée Réseau neurologique Etude de paramètre structure.
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Résumé :
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A hardware implementation of the Takagi-Sugeno-Kan (TSK)-type recurrent fuzzy network (TRFN-H) for water bath temperature control is proposed in this paper. The TRFN-H is constructed by a series of recurrent fuzzy if-then rules built on-line through concurrent structure and parameter learning. To design TRFN-H for temperature control, the direct inverse control configuration is adopted, and owing to the structure of TRFN-H, no a priori knowledge of the plant order is required, which eases the design process. Due to the powerful learning ability of TRFN-H, a small network is generated, which significantly reduces the hardware implementation cost. After the network is designed, it is realized on a field-programmable gate array (FPGA) chip. Because both the rule and input variable numbers in TRFN-H are small, it is implemented by combinational circuits directly without using any memory. The good performance of the TRFN-H chip is verified from comparisons with computer-based proportional-integral fuzzy (PI) and neural network controllers for different sets of experiments on water bath temperature control.
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DEWEY :
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621
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ISSN :
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0278-0046
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En ligne :
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cfjuang@dragon.nchu.edu.tw, jschen@magicpixel.com.tw
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