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Siyuan Xing and Jian-Qiao Sun
The Gaussian-radial-basis function neural network (GRBFNN) has been a popular choice for interpolation and classification. However, it is computationally intensive when the dimension of the input vector is high. To address this issue, we propose a new fe...
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Yuhao Jing, Yang Wu, Jiwei Tang, Pingfang Zhou and Dengping Duan
The contribution of this paper is the proposal of a new receding horizon trajectory generation method for stratospheric airships? return phase. Since the energy consumption, wind field and path constraints are restrictions during the return phase of airs...
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Guoqing Xia, Xianxin Sun and Xiaoming Xia
This paper addresses the distributed swarm control problem of multiple unmanned surface vehicles (USVs) in Euclidean space with virtual leader. Firstly, to investigate the topology of the neighborhood relations between vehicles, a new time-variant topolo...
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Georgiana Magu, Radu Lucaciu and Alexandru Isar
A way to reduce the uncertainty at the output of a Kalman filter embedded into a tracker connected to an automotive RADAR sensor consists of the adaptive selection of parameters during the tracking process. Different informed strategies for automatically...
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Lin Zhang, Yian Zhu, Xianchen Shi and Xuesi Li
To improve the intelligence and accuracy of the Situation Assessment (SA) in complex scenes, this work develops an improved fuzzy deep neural network approach to the situation assessment for multiple Unmanned Aerial Vehicle(UAV)s. Firstly, this work norm...
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