Merkliste
Die Merkliste ist leer.
Der Warenkorb ist leer.
Bitte warten - die Druckansicht der Seite wird vorbereitet.
Der Druckdialog öffnet sich, sobald die Seite vollständig geladen wurde.
Sollte die Druckvorschau unvollständig sein, bitte schliessen und "Erneut drucken" wählen.
Cooperative Path Planning of Unmanned Aerial Vehicles
ISBN/GTIN

Cooperative Path Planning of Unmanned Aerial Vehicles

E-BookPDFDRM AdobeE-Book
CHF100.00

Beschreibung

An invaluable addition to the literature on UAV guidance and
cooperative control, Cooperative Path Planning of Unmanned
Aerial Vehicles is a dedicated, practical guide to
computational path planning for UAVs. One of the key issues facing
future development of UAVs is path planning: it is vital that swarm
UAVs/ MAVs can cooperate together in a coordinated manner, obeying
a pre-planned course but able to react to their environment by
communicating and cooperating. An optimized path is necessary in
order to ensure a UAV completes its mission efficiently, safely,
and successfully.



Focussing on the path planning of multiple UAVs for simultaneous
arrival on target, Cooperative Path Planning of Unmanned Aerial
Vehicles also offers coverage of path planners that are
applicable to land, sea, or space-borne vehicles.

Cooperative Path Planning of Unmanned Aerial Vehicles is
authored by leading researchers from Cranfield University and
provides an authoritative resource for researchers, academics and
engineers working in the area of cooperative systems, cooperative
control and optimization particularly in the aerospace
industry.
Weitere Beschreibungen

Details

Weitere ISBN/GTIN9780470975206
ProduktartE-Book
EinbandE-Book
FormatPDF
Format HinweisDRM Adobe
Erscheinungsdatum25.09.2010
Auflage10001 A. 1. Auflage
Seiten216 Seiten
SpracheEnglisch
Dateigrösse1805 Kbytes
Artikel-Nr.2075888
KatalogVC
Datenquelle-Nr.169792
Weitere Details

Autor

Antonios Tsourdos is a Reader in Autonomous Systems and
Control and Head of the Guidance and Control Group at Cranfield.
His research areas include UAV Autonomy, UAV Path Planning,
Coordinated Guidance, Cooperative Control, UAV Swarm, Autonomous
Sensors Network, Sensor and Data Fusion, and Vehicle Health
Management. He has authored many scientific research papers and has
served as a guest editor for journal special issues on
'multi-vehicle systems cooperative control with applications';
'advances in missile guidance and control: theory and practice',
and cooperative control approaches for multiple mobile robots'.

Brian A White, now Professor Emeritus at Cranfield, was
until recently Head of the Department of Aerospace, Power and
Sensors and also Head of the Guidance and Control Group at
Cranfield. His areas of expertise are robust control, non-linear
control, estimation, observer applications, inertial navigation,
guidance design, soft computing and sensor and data fusion. He has
published widely in the control science field, mainly on autopilot
design and guidance. He has managed significant contracts in the
area of guidance. He has organized and run numerous invited
sessions at major control conferences and co-edited a special issue
of the IFAC journal Control Engineering Practice on Control in
Defence Systems. He has served as associate editor for the IMechE
Journal of Aerospace Engineering (Part G), IMechE Journal of
Systems and Control Engineering (Part I), and the Journal of
Nonlinear Studies.

Madhavan Shanmugavel is a Research Officer within the
Guidance and Control Group at Cranfield.

Weitere Produkte von Shanmugavel, Madhavan