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Robust Multivariable Flight Control
Published by Springer London Ltd, GB, 2011
ISBN 10: 1447121139 ISBN 13: 9781447121138
Language: English
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: New. Softcover reprint of the original 1st ed. 1994.
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Robust Multivariable Flight Control (Advances in Industrial Control)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 66.76
US$ 15.81 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Robust Multivariable Flight Control
Published by Springer London Ltd, GB, 2011
ISBN 10: 1447121139 ISBN 13: 9781447121138
Language: English
US$ 77.33
US$ 85.76 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPaperback. Condition: New. Manual flight control system design for fighter aircraft is one of the most demanding problems in automatic control. Fighter aircraft dynamics generally have highly coupled uncertain and nonlinear dynamics. Multivariable control design techniques offer a solution to this problem. Robust Multivariable Flight Control provides the background, theory and examples for full envelope manual flight control system design. It gives a versatile framework for the application of advanced multivariable control theory to aircraft control problems. Two design case studies are presented for the manual flight control of lateral/directional axes of the VISTA-F-16 test vehicle and an F-18 trust vectoring system. They demonstrate the interplay between theory and the physical features of the systems. Softcover reprint of the original 1st ed. 1994.
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Condition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher.
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Manual flight control system design for fighter aircraft is one of the most demanding problems in automatic control. Fighter aircraft dynamics generally have highly coupled uncertain and nonlinear dynamics. Multivariable control design techniques offer a so.
