Articoli correlati a Nonlinear Kalman Filter for Multi-Sensor Navigation...

Nonlinear Kalman Filter for Multi-Sensor Navigation of Unmanned Aerial Vehicles: Application to Guidance and Navigation of Unmanned Aerial Vehicles Flying in a Complex Environment - Rilegato

Condomines, Jean-philippe

 
9781785482854: Nonlinear Kalman Filter for Multi-Sensor Navigation of Unmanned Aerial Vehicles: Application to Guidance and Navigation of Unmanned Aerial Vehicles Flying in a Complex Environment
Rilegato
ISBN 10: 1785482858 ISBN 13: 9781785482854
Casa editrice: Elsevier Science Ltd, 2018

Sinossi

Nonlinear Kalman Filter for Multi-Sensor Navigation of Unmanned Aerial Vehicles covers state estimation development approaches for Mini-UAV. The book focuses on Kalman filtering technics for UAV design, proposing a new design methodology and case study related to inertial navigation systems for drones. Both simulation and real experiment results are presented, thus showing new and promising perspectives.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Informazioni sull'autore

Jean-Philippe Condomines is Assistant Professor in Guidance Navigation and Control in the UAV team at the French National Civil Aviation University (ENAC), in Toulouse, France, where he contributes to the development of an open source pilot for the Paparazzi project. He received in 2015 his Ph.D. in Automatic Control from the Higher Institute of Aeronautics and Space (ISAE), in Toulouse, France. Incompared by a nonlinear state estimation, named Invariant Unscented Kalman Filter (IUKF), based on both nonlinear invariant observers and UKF. UAV (Gust Energy Extraction for Mini- and Micro-UAV, Non-linear control design for in-flight Loss-of-control, Adaptative control design for fixed-wing and security issues in UAVs Ad - hoc networks (IDS) for aeronautics, Ad hoc network Dynamic modeling, IDS using robust controller / observer, Applications de invariant methodology à classification des air traffic density.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Elsevier Science Ltd
Data di pubblicazione
2018
Lingua
Inglese
ISBN 10 
1785482858
ISBN 13 
9781785482854
Rilegatura
Copertina rigida
Numero edizione
1
Numero di pagine
238
Contatto del produttore
non disponibile
Persona responsabile
LSWR Group
b.criscuolo@lswr.it

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