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Shuzhen Li, Yuzhe Li, Junlin Zhu and Bin Liu
UAV formation keeping is an important research element due to its cooperative formation control. This study proposes a passive positioning model for UAVs based on the Monte Carlo strategy and provides a trajectory programming decision scheme based on the...
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Dan Xu, Yunxiao Guo, Zhongyi Yu, Zhenfeng Wang, Rongze Lan, Runhao Zhao, Xinjia Xie and Han Long
Flocking for fixed-Wing Unmanned Aerial Vehicles (UAVs) is an extremely complex challenge due to fixed-wing UAV?s control problem and the system?s coordinate difficulty. Recently, flocking approaches based on reinforcement learning have attracted attenti...
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Ahmed Mahfouz, Gabriella Gaias, D. M. K. K. Venkateswara Rao and Holger Voos
In this paper, the problem of autonomous optimal absolute orbit keeping for a satellite mission in Low Earth Orbit using electric propulsion is considered. The main peculiarity of the approach is to support small satellite missions in which the platform ...
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Huan Wang, Shuguang Liu, Maolong Lv and Boyang Zhang
Cooperative group formation control of manned/unmanned aircraft vehicles (MAV/UAVs) using a hierarchical framework can be more efficient and flexible than centralized control strategies. In this paper, a two-level hierarchical-interaction-based cooperati...
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Jingmin Zhang, Xiaokui Yue, Haofei Zhang and Tiantian Xiao
This paper investigates the air?ground cooperative time-varying formation-tracking control problem of a heterogeneous cluster system composed of an unmanned ground vehicle (UGV) and an unmanned aerial vehicle (UAV). Initially, the structure of the UAV?UG...
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Giannis Saitis, Anna Karkani, Eleni Koutsopoulou, Konstantinos Tsanakas, Satoru Kawasaki and Niki Evelpidou
Beachrocks are a window to the past environmental, geological, sedimentological and morphological conditions that were dominant in the coastal zone during their formation. Furthermore, beachrocks have the ability to reduce coastal erosion impact on sandy...
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Xun Yan, Dapeng Jiang, Runlong Miao and Yulong Li
This paper proposes a formation generation algorithm and formation obstacle avoidance strategy for multiple unmanned surface vehicles (USVs). The proposed formation generation algorithm implements an approach combining a virtual structure and artificial ...
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Rui Qiao, Guili Xu, Yuehua Cheng, Zhengyu Ye and Jinlong Huang
Large-scale unmanned aerial vehicle (UAV) formations are vulnerable to disintegration under electromagnetic interference and fire attacks. To address this issue, this work proposed a distributed formation method of UAVs based on the 3 × 3 magic square an...
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Gisliany Lillian Alves de Oliveira, Luciana Lima, Ivanovitch Silva, Marcel da Câmara Ribeiro-Dantas, Kayo Henrique Monteiro and Patricia Takako Endo
Social distancing is a powerful non-pharmaceutical intervention used as a way to slow the spread of the SARS-CoV-2 virus around the world since the end of 2019 in China. Taking that into account, this work aimed to identify variations on population mobil...
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Donatas Vitkus, Jonathan Salter, Nikolaj Goranin and Dainius Ceponis
This paper proposes a novel approach of knowledge base formation for expert systems, dedicated to IT security risk analysis, using attack trees as a source of information. Automating the conversion of attack trees to a format that expert systems can use ...
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