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

Condomines, Jean-Philippe

 
9781785482854: Nonlinear Kalman Filter for Multi-Sensor Navigation of Unmanned Aerial Vehicle: Application to Guidance and Navigation of Unmanned Aerial Vehicles Flying in a Complex Environment
Tapa dura
ISBN 10: 1785482858 ISBN 13: 9781785482854
Editorial: ISTE Press - Elsevier, 2018

Sinopsis

Nonlinear Kalman Filter for Multi-Sensor Navigation of Unmanned Aerial Vehicle 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.

  • Gives a state estimation development approach for mini-UAVs
  • Explains Kalman filtering techniques
  • Introduce a new design method for unmanned aerial vehicles
  • Introduce cases relating to the inertial navigation system of drones

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del autor

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.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
ISTE Press - Elsevier
Año de publicación
2018
Idioma
Inglés
ISBN 10 
1785482858
ISBN 13 
9781785482854
Encuadernación
Tapa dura
Número de edición
1
Número de páginas
254
Contacto del fabricante
no disponible
Persona responsable
Barbara Criscuolo
b.criscuolo@lswr.it

Via Spadolini, 7
Milano
20141
Italia