State Estimation and Control for Low-cost Unmanned Aerial Vehicles (Hardcover, 2015 ed.)

This book discusses state estimation and control procedures for a low-cost unmanned aerial vehicle (UAV). The authors consider the use of robust adaptive Kalman filter algorithms and demonstrate their advantages over the optimal Kalman filter in the context of the difficult and varied environments in which UAVs may be employed. Fault detection and isolation (FDI) and data fusion for UAV air-data systems are also investigated, and control algorithms, including the classical, optimal, and fuzzy controllers, are given for the UAV. The performance of different control methods is investigated and the results compared. State Estimation and Control of Low-Cost Unmanned Aerial Vehicles covers all the important issues for designing a guidance, navigation and control (GNC) system of a low-cost UAV. It proposes significant new approaches that can be exploited by GNC system designers in the future and also reviews the current literature. The state estimation, control and FDI methods are illustrated by examples and MATLAB (R) simulations. State Estimation and Control of Low-Cost Unmanned Aerial Vehicles will be of interest to both researchers in academia and professional engineers in the aerospace industry. Graduate students may also find it useful, and some sections are suitable for an undergraduate readership.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Release date:	June 2015
First published:	2015
Authors:	Chingiz Hajiyev • Halil Ersin Soken • Sitki Yenal Vural
Dimensions:	235 x 155 x 16mm (L x W x T)
Format:	Hardcover
Pages:	232
Edition:	2015 ed.
ISBN-13:	978-3-319-16416-8
Categories:	Books > Professional & Technical > Transport technology > Intelligent & automated transport system technology Books > Professional & Technical > Transport technology > Aerospace & aviation technology > General Promotions
LSN:	3-319-16416-3
Barcode:	9783319164168

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