Buch, Englisch, Band 444, 207 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 3401 g
Buch, Englisch, Band 444, 207 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 3401 g
Reihe: Lecture Notes in Control and Information Sciences
ISBN: 978-3-642-37693-1
Verlag: Springer
A team of launched and coordinated Unmanned aerial vehicles (UAVs), requires advanced technologies in sensing, communication, computing, and control to improve their intelligence and robustness towards autonomous operations. To enhance reliability, robustness, and mission capability of a team of UAVs, a system-oriented and holistic approach is desirable in which all components and subsystems are considered in terms of their roles and impact on the entire system.
This volume aims to summarize the recent progress, identify challenges and opportunities, and develop new methodologies and systems on coordinated UAV control.
A group of experts working in this area have contributed to this volume in several related aspects of autonomous control of networked UAVs. Their papers introduce new control methodologies, algorithms, and systems that
address several important issues in developing intelligent, autonomous or semi-autonomous, networked systems for the next generation of UAVs. The papers share a common focus on improved coordination of the members of the networked system to accomplish a common mission, to achieve heightened capability in system reconfiguration to compensate for lost members or connections, and to enhance robustness against terrain complications and attacks.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Enhancing the Practical Agility of UAVs via Pseudo spectral.- Optimal Control.- Max Plus Decision Processes in Planning Problems for Unmanned.- Air Vehicle Teams.- Solution of an Optimal Sensing and Interception Problem.- Using Idempotent Methods.- Model Checking for Verification in UAV.- Cooperative Control Applications.- Approximate Dynamic Programming applied to.- UAV Perimeter Patrol.- A Framework for Coordination in Distributed Stochastic Systems: Perfect.- State Feedback and Performance Risk Aversion.- Weighted and Constrained Consensus Control with.- Performance Optimization for Robust Distributed.- UAV Deployments with Dynamic Information Networks.
