Wenxing Fu

Low-Rank Modeling of Continuous Threat Regions for Cooperative Secure Beamforming in UAV Networks

Penghui Li, Pingping Wang, Baojun Wang, Wenxing Fu

Open wireless propagation makes unmanned aerial vehicle (UAV) links vulnerable to eavesdroppers distributed over roads, building clusters, or other continuous regions. This paper proposes a low-rank threat-subspace method for cooperative secure beamforming from distributed ground transmitters to a legitimate UAV. Steering vectors …

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Strapdown Guidance Law Design with Terminal Impact Angle and Field-of-View Constraints

Zhai Jinyang, Xiao Zhun, Sun Wendi, Guo Hang et autres

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Proceedings of 5th 2025 International Conference on Autonomous Unmanned Systems (ICAUS)

Shaorong Xie, Yifeng Niu, Wenxing Fu, Yi Qu

Fixed-time event-triggered group cooperative midcourse guidance law with collision avoidance and connectivity preservation

Ruitao Zhang, Yangwang Fang, Hang Guo, Zhan Chen et autres

Three-dimensional cooperative guidance law with practical predefined-time approach angle and time-to-go convergence

Zihao Wu, Wei Feng, Xiaofeng Zhang, Wenxing Fu et autres

This paper presents a Three-Dimensional (3D) cooperative guidance law with Practical Predefined-Time (PPT) convergence for multiple missiles considering approach angle (terminal line-of-sight) and simultaneous arrival constraints. To achieve a salvo attack against a maneuvering target from various directions, the guidance problem is …

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Heterogeneous Multi-Mission Task Planning for UAV Swarm Based on Hierarchical Deep Reinforcement Learning

Ying Lu, Jie Yan, Wenxing Fu, Qin Yang

Fixed-wing unmanned aerial vehicles (UAVs), as one of the most prevalent UAV types, are particularly suited for large-scale battlefield operations, especially in UAV swarms, where effective attack planning is critical. However, existing swarm planning algorithms often fail to account for the complexity …

High-Accuracy Rocket Landing via Lossless Convexification

Xiao Wei, Bei Hong, Junpeng Liu, Xiaofei Chang et autres

With the development of rocket technology, achieving high-precision landing has become a key technical challenge in the field of aerospace. To cope with this challenge, we propose a lossless convexification algorithm based on the integral pseudospectral method in this paper. Firstly, for …

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An Efficient 3D Multi-Object Tracking Algorithm for Low-Cost UGV Using Multi-Level Data Association

Xiaochun Yang, Albert S. Huang, Jin Lou, Junhua Gou et autres

3D object detection and tracking technology are increasingly being adopted in unmanned ground vehicles, as robust perception systems significantly improve the obstacle avoidance performance of a UGV. However, most existing algorithms depend heavily on computationally intensive point cloud neural networks, rendering them …

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Path Planning for Fixed-Wing UAVs in Unknown Dynamic Environments based on Deep Reinforcement Learning

Dahai Zhao, Wenxing Fu

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Prescribed-time formation control considering delay effects based on enhanced sliding modes and composite learning

Mengjing Gao, Quancheng Li, Kang Chen, Tian Yan et autres

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Attitude fault-tolerant control method of launch vehicle based on composite learning and fixed time synchronization

Haipeng Chen, Yuan Zhang, Zimo Zhang, Wenxing Fu et autres

In this paper, an attitude fault-tolerant control method based on composite learning and fixed time convergence is designed to solve the attitude control problem of a launch vehicle with actuator failure and external interference. Firstly, the attitude control model and fault model …

Distributed Diffusion Multi-Distribution Filter with IMM for Heavy-Tailed Noise

Guannan Chang, Changwu Jiang, Wenxing Fu, Tao Cui et autres

With the diversification of space applications, the tracking of maneuvering targets has gradually gained attention. Issues such as their wide range of movement and observation outliers caused by human operation are worthy of in-depth discussion. This paper presents a novel distributed diffusion …

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