This project is about the design and implementation of a fuzzy vacuum cleaner system. The fuzzy vacuum cleaner system has the ability to determine the amount of dirt on the surface being cleaned and the type of that surface. A dirt sensor connected to the vacuum cleaner head determines the amount of dirt while the surface type is determined from the rate at which the amount of dirt increases or decreases. The fuzzy vacuum cleaner adjust its suction power according to a set of fuzzy rules. These fuzzy rules are divided according to the amount of dirt and the type of surface being cleaned. A self- tuning pole placement controller has been designed to control the vacuum motor speed. The vacuum motor has been modelled in MATLAB and compared with the real time system. The fuzzy vacuum cleaner system has been validated through several real-time experiments. These experiments were carried out on different types of surfaces. The improvement of the system can by the extent to which it recognizes different surfaces and the way in which it operates according to the fuzzy rules.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
This project is about the design and implementation of a fuzzy vacuum cleaner system. The fuzzy vacuum cleaner system has the ability to determine the amount of dirt on the surface being cleaned and the type of that surface. A dirt sensor connected to the vacuum cleaner head determines the amount of dirt while the surface type is determined from the rate at which the amount of dirt increases or decreases. The fuzzy vacuum cleaner adjust its suction power according to a set of fuzzy rules. These fuzzy rules are divided according to the amount of dirt and the type of surface being cleaned. A self- tuning pole placement controller has been designed to control the vacuum motor speed. The vacuum motor has been modelled in MATLAB and compared with the real time system. The fuzzy vacuum cleaner system has been validated through several real-time experiments. These experiments were carried out on different types of surfaces. The improvement of the system can by the extent to which it recognizes different surfaces and the way in which it operates according to the fuzzy rules.
Abdullah S. Al-Kathery, Researcher in Electronics, Communication and Control Systems Engineering, Technical and Vocational Training Corporation, Kingdom of Saudi Arabia. M.Sc. in Automatic Control and Systems Engineering, University of Sheffield. B.Sc. Industrial Electronics and Automatic Control Engineering, Technical College, Riyadh.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This project is about the design and implementation of a fuzzy vacuum cleaner system. The fuzzy vacuum cleaner system has the ability to determine the amount of dirt on the surface being cleaned and the type of that surface. A dirt sensor connected to the vacuum cleaner head determines the amount of dirt while the surface type is determined from the rate at which the amount of dirt increases or decreases. The fuzzy vacuum cleaner adjust its suction power according to a set of fuzzy rules. These fuzzy rules are divided according to the amount of dirt and the type of surface being cleaned. A self- tuning pole placement controller has been designed to control the vacuum motor speed. The vacuum motor has been modelled in MATLAB and compared with the real time system. The fuzzy vacuum cleaner system has been validated through several real-time experiments. These experiments were carried out on different types of surfaces. The improvement of the system can by the extent to which it recognizes different surfaces and the way in which it operates according to the fuzzy rules. 112 pp. Englisch. N° de réf. du vendeur 9783845410517
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Vendeur : Books Puddle, New York, NY, Etats-Unis
Etat : New. pp. 112. N° de réf. du vendeur 26128836684
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Vendeur : Majestic Books, Hounslow, Royaume-Uni
Etat : New. Print on Demand pp. 112 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam. N° de réf. du vendeur 131750803
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Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
Etat : New. PRINT ON DEMAND pp. 112. N° de réf. du vendeur 18128836678
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Vendeur : moluna, Greven, Allemagne
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Al-Kathery AbdullahAbdullah S. Al-Kathery, Researcher in Electronics, Communication and Control Systems Engineering, Technical and Vocational Training Corporation, Kingdom of Saudi Arabia. M.Sc. in Automatic Control and Systems Engin. N° de réf. du vendeur 5481057
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This project is about the design and implementation of a fuzzy vacuum cleaner system. The fuzzy vacuum cleaner system has the ability to determine the amount of dirt on the surface being cleaned and the type of that surface. A dirt sensor connected to the vacuum cleaner head determines the amount of dirt while the surface type is determined from the rate at which the amount of dirt increases or decreases. The fuzzy vacuum cleaner adjust its suction power according to a set of fuzzy rules. These fuzzy rules are divided according to the amount of dirt and the type of surface being cleaned. A self- tuning pole placement controller has been designed to control the vacuum motor speed. The vacuum motor has been modelled in MATLAB and compared with the real time system. The fuzzy vacuum cleaner system has been validated through several real-time experiments. These experiments were carried out on different types of surfaces. The improvement of the system can by the extent to which it recognizes different surfaces and the way in which it operates according to the fuzzy rules.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 112 pp. Englisch. N° de réf. du vendeur 9783845410517
Quantité disponible : 1 disponible(s)
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This project is about the design and implementation of a fuzzy vacuum cleaner system. The fuzzy vacuum cleaner system has the ability to determine the amount of dirt on the surface being cleaned and the type of that surface. A dirt sensor connected to the vacuum cleaner head determines the amount of dirt while the surface type is determined from the rate at which the amount of dirt increases or decreases. The fuzzy vacuum cleaner adjust its suction power according to a set of fuzzy rules. These fuzzy rules are divided according to the amount of dirt and the type of surface being cleaned. A self- tuning pole placement controller has been designed to control the vacuum motor speed. The vacuum motor has been modelled in MATLAB and compared with the real time system. The fuzzy vacuum cleaner system has been validated through several real-time experiments. These experiments were carried out on different types of surfaces. The improvement of the system can by the extent to which it recognizes different surfaces and the way in which it operates according to the fuzzy rules. N° de réf. du vendeur 9783845410517
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Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : Neu. Design and Real-time Implementation of a Fuzzy Vacuum Cleaner System | Design, Simulation and Implementation | Abdullah Al-Kathery | Taschenbuch | 112 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783845410517 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. N° de réf. du vendeur 106890451
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Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni
Paperback. Etat : Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book. N° de réf. du vendeur ERICA75838454105156
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