Vehicle stability and comfort of passenger is greatly in influenced by the uneven and bumpy roads. When visualizing the conventional semi-active and passive systems, they have fixed parameters and can not adapt with uneven roads. Main objective of this work is to get enhanced active suspension of the full car model. Mathematical modeling of full car model is evaluated and update parameter equations of the active controllers, i.e. Recurrent Fuzzy Wavelet Neural Network-1(a),Recurrent Fuzzy Wavelet Neural Network-1(b), Recurrent Fuzzy Wavelet Neural Network-2(a), Recurrent Fuzzy Wavelet Neural Network-2(b), Recurrent Fuzzy Wavelet Neural Network-3(a) and Recurrent Fuzzy Wavelet Neural Network-2(b) controllers have been derived. Then these controllers are tested using MATLAB/Simulink on full car model. At the end comparison of all the above mentioned controllers with passive suspension and semi-active suspension is done. It is concluded that these active controllers have greatly improved the displacement and acceleration of Heave, Pitch, Roll and Seat of car, as a result comfort of passenger and vehicle is improved.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Majida Nazir is involved in teaching and supervision in a defense organization. Laiq Khan is a professor of Power System Dynamics and Control in the department of electrical engineering, COMSATS IIT Abbottabad, Pakistan. Shahid Qamar is a lecturer in the department of electrical engineering, COMSATS IIT, Abbottabad, Pakistan.
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 -Vehicle stability and comfort of passenger is greatly in influenced by the uneven and bumpy roads. When visualizing the conventional semi-active and passive systems, they have fixed parameters and can not adapt with uneven roads. Main objective of this work is to get enhanced active suspension of the full car model. Mathematical modeling of full car model is evaluated and update parameter equations of the active controllers, i.e. Recurrent Fuzzy Wavelet Neural Network-1(a),Recurrent Fuzzy Wavelet Neural Network-1(b), Recurrent Fuzzy Wavelet Neural Network-2(a), Recurrent Fuzzy Wavelet Neural Network-2(b), Recurrent Fuzzy Wavelet Neural Network-3(a) and Recurrent Fuzzy Wavelet Neural Network-2(b) controllers have been derived. Then these controllers are tested using MATLAB/Simulink on full car model. At the end comparison of all the above mentioned controllers with passive suspension and semi-active suspension is done. It is concluded that these active controllers have greatly improved the displacement and acceleration of Heave, Pitch, Roll and Seat of car, as a result comfort of passenger and vehicle is improved. 196 pp. Englisch. N° de réf. du vendeur 9783659480003
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Nazir MajidaMajida Nazir is involved in teaching and supervision in a defense organization. Laiq Khan is a professor of Power System Dynamics and Control in the department of electrical engineering, COMSATS IIT Abbottabad, Pakistan. . N° de réf. du vendeur 5158682
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Vehicle stability and comfort of passenger is greatly in influenced by the uneven and bumpy roads. When visualizing the conventional semi-active and passive systems, they have fixed parameters and can not adapt with uneven roads. Main objective of this work is to get enhanced active suspension of the full car model. Mathematical modeling of full car model is evaluated and update parameter equations of the active controllers, i.e. Recurrent Fuzzy Wavelet Neural Network-1(a),Recurrent Fuzzy Wavelet Neural Network-1(b), Recurrent Fuzzy Wavelet Neural Network-2(a), Recurrent Fuzzy Wavelet Neural Network-2(b), Recurrent Fuzzy Wavelet Neural Network-3(a) and Recurrent Fuzzy Wavelet Neural Network-2(b) controllers have been derived. Then these controllers are tested using MATLAB/Simulink on full car model. At the end comparison of all the above mentioned controllers with passive suspension and semi-active suspension is done. It is concluded that these active controllers have greatly improved the displacement and acceleration of Heave, Pitch, Roll and Seat of car, as a result comfort of passenger and vehicle is improved. N° de réf. du vendeur 9783659480003
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Vendeur : Books Puddle, Woodside, NY, Etats-Unis
Etat : New. pp. 196. N° de réf. du vendeur 26127576496
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Vendeur : Majestic Books, Hounslow, Royaume-Uni
Etat : New. Print on Demand pp. 196 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam. N° de réf. du vendeur 132978287
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Etat : New. PRINT ON DEMAND pp. 196. N° de réf. du vendeur 18127576506
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Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : Neu. Recurrent Adaptive NeuroFuzzy Paradigms | Vehicle's Suspension Control | Majida Nazir (u. a.) | Taschenbuch | 196 S. | Englisch | 2014 | LAP LAMBERT Academic Publishing | EAN 9783659480003 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 105514021
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Vehicle stability and comfort of passenger is greatly in influenced by the uneven and bumpy roads. When visualizing the conventional semi-active and passive systems, they have fixed parameters and can not adapt with uneven roads. Main objective of this work is to get enhanced active suspension of the full car model. Mathematical modeling of full car model is evaluated and update parameter equations of the active controllers, i.e. Recurrent Fuzzy Wavelet Neural Network-1(a),Recurrent Fuzzy Wavelet Neural Network-1(b), Recurrent Fuzzy Wavelet Neural Network-2(a), Recurrent Fuzzy Wavelet Neural Network-2(b), Recurrent Fuzzy Wavelet Neural Network-3(a) and Recurrent Fuzzy Wavelet Neural Network-2(b) controllers have been derived. Then these controllers are tested using MATLAB/Simulink on full car model. At the end comparison of all the above mentioned controllers with passive suspension and semi-active suspension is done. It is concluded that these active controllers have greatly improved the displacement and acceleration of Heave, Pitch, Roll and Seat of car, as a result comfort of passenger and vehicle is improved.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 196 pp. Englisch. N° de réf. du vendeur 9783659480003
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paperback. Etat : Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book. N° de réf. du vendeur ERICA82336594800026
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