9783844388749 - aircraft icing detection, identification and reconfigurable control: kalman filtering and neural networks approaches di hajiyev, chingiz; aykan, rahmi; caliskan, fikret (13 risultati)
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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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Da: Chiron Media, Wallingford, Regno UnitoChiron Media
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Paperback. Condizione: New.
Lingua: Inglese
Editore: VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2011
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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Condizione: New. pp. 164.
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Da: preigu, Osnabrück, Germaniapreigu
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Taschenbuch. Condizione: Neu. AIRCRAFT ICING DETECTION, IDENTIFICATION AND RECONFIGURABLE CONTROL | KALMAN FILTERING AND NEURAL NETWORKS APPROACHES | Chingiz Hajiyev (u. a.) | Taschenbuch | 164 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783844388749 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co.…KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu.
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Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books
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Paperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Da: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
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PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book aims at the detection and identification of airframe icing based on statistical properties of aircraft dynamics and reconfigurable control protecting aircraft from hazardous icing conditions. Icing model of aircraft is re…presented by five parameters for iced wing airfoils. Icing is detected by a Kalman filtering innovation approach. A neural network structure is embodied such that its inputs are the aircraft estimated measurements, and its outputs are the icing parameters. The necessary training and validation set for the neural network model of the iced aircraft are obtained from the simulations, which are performed for various icing conditions. In order to decrease noise effects on the states and to increase training performance of the neural network, the estimated states by the Kalman filter are used. A suitable neural network model of the iced aircraft is obtained by using system identification methods and learning algorithms. This trained network model is used as an application for the control of the aircraft that has lost its controllability due to icing. The method is applied to F16 military and A340 commercial aircraft models. 164 pp. Englisch.
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Da: moluna, Greven, Germaniamoluna
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: HAJIYEV CHINGIZProfessor Chingiz Hajiyev graduated from Moscow Aviation Institute with honor diploma in 1981. He received the Ph.D. and D.Sc.(Eng.) degrees in 1987 and 1993, respectively. He is current…ly a Professor in D.
Lingua: Inglese
Editore: VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2011
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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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Condizione: New. Print on Demand pp. 164 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam.
Lingua: Inglese
Editore: VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2011
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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EUR 114,38
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Condizione: New. PRINT ON DEMAND pp. 164.
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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EUR 68,00
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book aims at the detection and identification of airframe icing based on statistical properties of aircraft dynamics and reconfigurable control protecting aircraft from hazardous icing conditions. Icing model of aircraft is repres…ented by five parameters for iced wing airfoils. Icing is detected by a Kalman filtering innovation approach. A neural network structure is embodied such that its inputs are the aircraft estimated measurements, and its outputs are the icing parameters. The necessary training and validation set for the neural network model of the iced aircraft are obtained from the simulations, which are performed for various icing conditions. In order to decrease noise effects on the states and to increase training performance of the neural network, the estimated states by the Kalman filter are used. A suitable neural network model of the iced aircraft is obtained by using system identification methods and learning algorithms. This trained network model is used as an application for the control of the aircraft that has lost its controllability due to icing. The method is applied to F16 military and A340 commercial aircraft models.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 164 pp. Englisch.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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EUR 68,82
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book aims at the detection and identification of airframe icing based on statistical properties of aircraft dynamics and reconfigurable control protecting aircraft from hazardous icing conditions. Icing model of aircraft is represe…nted by five parameters for iced wing airfoils. Icing is detected by a Kalman filtering innovation approach. A neural network structure is embodied such that its inputs are the aircraft estimated measurements, and its outputs are the icing parameters. The necessary training and validation set for the neural network model of the iced aircraft are obtained from the simulations, which are performed for various icing conditions. In order to decrease noise effects on the states and to increase training performance of the neural network, the estimated states by the Kalman filter are used. A suitable neural network model of the iced aircraft is obtained by using system identification methods and learning algorithms. This trained network model is used as an application for the control of the aircraft that has lost its controllability due to icing. The method is applied to F16 military and A340 commercial aircraft models.
