Distributed trajectory optimization for multiple solar-powered UAVs target tracking in urban environment by Adaptive Grasshopper Optimization Algorithm

Aiming at the trajectory optimization of the solar-powered UAVs (SUAVs) cooperative target tracking in urban environment, the distributed model predictive control (DMPC) method based on Adaptive Grasshopper Optimization Algorithm (AGOA) is proposed in this paper. Firstly, the cooperative target trac...

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Veröffentlicht in:	Aerospace science and technology Jg. 70; S. 497 - 510
Hauptverfasser:	Wu, Jianfa, Wang, Honglun, Li, Na, Yao, Peng, Huang, Yu, Su, Zikang, Yu, Yue
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Masson SAS 01.11.2017
Schlagworte:	Adaptive Grasshopper Optimization Algorithm (AGOA) Distributed model predictive control (DMPC) Sight occlusions Solar-powered UAVs (SUAVs) Target tracking Urban environment Target tracking Solar-powered UAVs (SUAVs) Urban environment Adaptive Grasshopper Optimization Algorithm (AGOA) Sight occlusions Distributed model predictive control (DMPC)
ISSN:	1270-9638, 1626-3219
Online-Zugang:	Volltext
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