9783659611162 - state dependent parameter (sdp) control applied to nonlinear systems di shaban, essam; taylor, james (6 risultati)
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Da: preigu, Osnabrück, Germaniapreigu
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Taschenbuch. Condizione: Neu. State Dependent Parameter (SDP) Control Applied to Nonlinear Systems | Essam Shaban (u. a.) | Taschenbuch | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783659611162 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de… | Anbieter: preigu.
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Paperback. Condizione: Brand New. 348 pages. 8.66x5.91x0.79 inches. In Stock.
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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 considers proportional-integral-plus (PIP) control of non-linear systems defined by state-dependent parameter models, with particular emphasis on three practical demonstrators: a 1/5th-scale laboratory representation of a…n Lancaster University Computerized Intelligent Excavator (LUCIE), a full-scale (commercial) vibrolance system used for ground improvement on a construction site, and nonlinear ALSTOM Benchmark Challenge II. In each case, the system is represented using a quasi-linear State-Dependent Parameter (SDP) model structure, in which the parameters are functionally dependent on other variables in the system. The approach yields SDP-PIP control algorithms with improved performance and robustness in comparison with conventional linear PIP control. In particular, the new approach better handles the large disturbances and other non-linearities typical in the application areas considered. 348 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: Shaban EssamE.M. Shaban born in Cairo-Egypt in 15th of July 1967. He received the Ph.D. degree in the field of True Digital Control (TDC) from Lancaster University, UK in 2006. He is currently an Assis…tant Professor in Faculty of En.
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book considers proportional-integral-plus (PIP) control of non-linear systems defined by state-dependent parameter models, with particular emphasis on three practical demonstrators: a 1/5th-scale laboratory representation of an La…ncaster University Computerized Intelligent Excavator (LUCIE), a full-scale (commercial) vibrolance system used for ground improvement on a construction site, and nonlinear ALSTOM Benchmark Challenge II. In each case, the system is represented using a quasi-linear State-Dependent Parameter (SDP) model structure, in which the parameters are functionally dependent on other variables in the system. The approach yields SDP-PIP control algorithms with improved performance and robustness in comparison with conventional linear PIP control. In particular, the new approach better handles the large disturbances and other non-linearities typical in the application areas considered.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 348 pp. Englisch.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 80,86
EUR 62,68 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book considers proportional-integral-plus (PIP) control of non-linear systems defined by state-dependent parameter models, with particular emphasis on three practical demonstrators: a 1/5th-scale laboratory representation of an Lan…caster University Computerized Intelligent Excavator (LUCIE), a full-scale (commercial) vibrolance system used for ground improvement on a construction site, and nonlinear ALSTOM Benchmark Challenge II. In each case, the system is represented using a quasi-linear State-Dependent Parameter (SDP) model structure, in which the parameters are functionally dependent on other variables in the system. The approach yields SDP-PIP control algorithms with improved performance and robustness in comparison with conventional linear PIP control. In particular, the new approach better handles the large disturbances and other non-linearities typical in the application areas considered.
