Titlebook: Advanced Techniques for Clearance of Flight Control Laws; Christopher Fielding,Andras Varga,Michiel Selier Book 2002 Springer-Verlag Berli

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Limited

Robert E. Kearney,Robert F. Kirschnamics of the augmented aircraft and of accompanying efficient and reliable trimming, linearisation and optimisation software tools. The optimisation-based approach has no limitations with respect to clearance criteria, being able to address all kind of clearance requirements which are expressible as mathematical criteria.

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FLACK

https://doi.org/10.1007/978-3-642-32603-5. A refined approach for generating linear fractional transformation based uncertainty models is presented. The resulting parametric models allow to identify worst-case uncertain parameter combinations.

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0170-8643 organisations involved including National Research Centers,In this book recent results of the GARTEUR (Group for Aeronautical Research and Technology in Europe) Action Group FM (AG11) are presented. .The book focuses on analysis techniques for the flight clearance of highly augmented aircrafts, inc

充足

Barry J. Doyle,Timothy M. McGloughlin the closed-loop system dynamics. The clearance criteria which are most easily addressed with .-analysis are those which are defined in the frequency domain such as the stability margin criterion or the unstable eigenvalue criterion. .-analysis tools which have been developed to address these specific clearance criteria are discussed.

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R. Pozzo,A. Canclini,C. Cotelli,G. Baroni an extended flight envelope over which flight control analysis techniques can be applied. The model offers reliable trimming, linearisation, simulation and analysis capabilities through the functionality of the model and ..

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Predictive Models in Biomechanicsorder to exploit the full potential of this method. These results mainly illustrate that this method allows a criterion in an entire region of the uncertain parameter space to be checked, thus giving the possibility to determine the estimated cleared and not cleared regions (not simple points) in the uncertain parameter space.

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