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.
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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.
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783845410517
Cantidad disponible: 2 disponibles
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783845410517
Cantidad disponible: 1 disponibles
Librería: Books Puddle, Woodside, NY, Estados Unidos de America
Condición: New. pp. 112. Nº de ref. del artículo: 26128836684
Cantidad disponible: 4 disponibles
Librería: Majestic Books, Hounslow, Reino Unido
Condición: 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. Nº de ref. del artículo: 131750803
Cantidad disponible: 4 disponibles
Librería: Biblios, Frankfurt am main, HESSE, Alemania
Condición: New. PRINT ON DEMAND pp. 112. Nº de ref. del artículo: 18128836678
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Librería: moluna, Greven, Alemania
Condición: 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. Nº de ref. del artículo: 5481057
Cantidad disponible: Más de 20 disponibles
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783845410517
Cantidad disponible: 1 disponibles
Librería: preigu, Osnabrück, Alemania
Taschenbuch. Condición: 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. Nº de ref. del artículo: 106890451
Cantidad disponible: 5 disponibles
Librería: Mispah books, Redhill, SURRE, Reino Unido
Paperback. Condición: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book. Nº de ref. del artículo: ERICA75838454105156
Cantidad disponible: 1 disponibles