Fault Detection and Flight Data Measurement Demonstrated on Unmanned Air Vehicles Using Neural Networks

Fault Detection and Flight Data Measurement Demonstrated on Unmanned Air Vehicles Using Neural Networks

This book considers two popular topics: fault detection and isolation (FDI) and flight data estimation using flush air data sensing (FADS) systems. Literature surveys, comparison tests, simulations and wind tunnel tests are performed. In both cases, a UAV platform is considered for demonstration pur...

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Dades bibliogràfiques
Autors principals: Samy, Ihab (Autor), Gu, Da-Wei (Autor)
Autor corporatiu: SpringerLink (Online service)
Format: Electronic Resource
Idioma:English
Publicat: Berlin, Heidelberg Springer Berlin Heidelberg 2011.
Col·lecció:Lecture Notes in Control and Information Sciences 419
Matèries:
Electronic books.
Engineering.
Systems theory.
Astronautics.
Control.
Computational Intelligence.
Aerospace Technology and Astronautics.
Systems Theory, Control.
Accés en línia:Available for University of the Philippines Diliman via SpringerLink. Click here to access