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Trends in advanced unmanned aerial systems = selected contributions of ICAUAS 2024 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Trends in advanced unmanned aerial systems/ edited by Zheng Hong (George) Zhu, Xiaohui Wei, Renfu Li.
其他題名:	selected contributions of ICAUAS 2024 /
其他題名:	ICAUAS 2024
其他作者:	Zhu, Zhenghong.
團體作者:	International Conference on Advanced Unmanned Aerial Systems
出版者:	Singapore :Springer Nature Singapore : : 2025.,
面頁冊數:	xviii, 619 p. :ill. (chiefly color), digital ;24 cm.
內容註:	The Hypersonic Aircraft Trajectory Planning by Relative Entropy Programming -- A Rapid Prediction Method for Re-entry Vehicle Reachable Domain Based on Deep Neural Network -- Autonomous Attitude Control and Trajectory Planning for UAV -- Research on UAV Attitude Control Based on Fractional-order PID Controller -- An Intelligent Maneuver Decision for Target Drone Based on Deep Reinforcement Learning -- UAV Trajectory Planning Based on Deep Residual Learning Network Optimization -- Design and Test of a Long Endurance Two-propeller Tail-sitter UAV.
Contained By:	Springer Nature eBook
標題:	Automated vehicles - Congresses. -
電子資源:	https://doi.org/10.1007/978-981-96-3240-4
ISBN:	9789819632404

Trends in advanced unmanned aerial systems = selected contributions of ICAUAS 2024 /
Trends in advanced unmanned aerial systemsselected contributions of ICAUAS 2024 /[electronic resource] :ICAUAS 2024edited by Zheng Hong (George) Zhu, Xiaohui Wei, Renfu Li. - Singapore :Springer Nature Singapore :2025. - xviii, 619 p. :ill. (chiefly color), digital ;24 cm. - Springer aerospace technology,1869-1749. - Springer aerospace technology..

The Hypersonic Aircraft Trajectory Planning by Relative Entropy Programming -- A Rapid Prediction Method for Re-entry Vehicle Reachable Domain Based on Deep Neural Network -- Autonomous Attitude Control and Trajectory Planning for UAV -- Research on UAV Attitude Control Based on Fractional-order PID Controller -- An Intelligent Maneuver Decision for Target Drone Based on Deep Reinforcement Learning -- UAV Trajectory Planning Based on Deep Residual Learning Network Optimization -- Design and Test of a Long Endurance Two-propeller Tail-sitter UAV.

This book presents an extensive exploration of the latest trends in Unmanned Aerial Systems (UAS) technology and the boundless opportunities they offer. Encompassing various facets of the UAS domain, including Autonomy and Control, Flight Dynamics and Control, Communication and Navigation, Sensing and Perception, Design and Simulation, Materials and Mechanics, the book is tailored for researchers, engineers, and practitioners deeply involved in the field of UAS. It delves into the intricate technicalities of UAS technology, providing profound insights and comprehensive discussions on its fundamental principles.

ISBN: 9789819632404

Standard No.: 10.1007/978-981-96-3240-4doiSubjects--Topical Terms:

3412222
Automated vehicles
--Congresses.

LC Class. No.: TL152.8

Dewey Class. No.: 629.046

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