|
|
|
|
|
Wenhao Li, Xianxia Zhang, Yueying Wang and Songbo Xie
Model predictive control (MPC), an extensively developed rolling optimization control method, is widely utilized in the industrial field. While some researchers have incorporated predictive control into underactuated unmanned surface vehicles (USVs), mos...
ver más
|
|
|
|
|
|
|
|
|
|
|
Peijie Yang, Jie Xue and Hao Hu
With the significant role that Unmanned Surface Vessels (USVs) could play in industry, the military and the transformation of ocean engineering, a growing research interest in USVs is attracted to their innovation, new technology and automation. Yet, the...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jingchen Wang, Qihe Shan, Tieshan Li, Geyang Xiao and Qi Xu
This paper studied the collision avoidance issue in the formation-containment tracking control of multi-USVs (unmanned surface vehicles) with constrained velocity and driving force. Specifically, based on a dual-layer control framework, it designed a mul...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chaopeng Yang, Jiacai Pan, Kai Wei, Mengjie Lu and Shihao Jia
Ocean currents make it difficult for unmanned surface vehicles (USVs) to keep a safe distance from obstacles. Effective path planning should adequately consider the effect of ocean currents on USVs. This paper proposes an improved A* algorithm based on a...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shuai Zheng, Yumin Su, Jiayuan Zhuang, Yueqi Tang and Guangjie Yi
The development of dynamic positioning (DP) algorithms for an unmanned surface vehicle (USV) is attracting great interest, especially in support of complex missions such as sea rescue. In order to improve the simplicity of the algorithm, a DP algorithm b...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shitu Chen, Ling Feng, Xuteng Bao, Zhe Jiang, Bowen Xing and Jingxiang Xu
Path planning is crucial for unmanned surface vehicles (USVs) to navigate and avoid obstacles efficiently. This study evaluates and contrasts various USV path-planning algorithms, focusing on their effectiveness in dynamic obstacle avoidance, resistance ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jing Luo, Yuhang Zhang, Jiayuan Zhuang and Yumin Su
The development of intelligent task allocation and path planning algorithms for unmanned surface vehicles (USVs) is gaining significant interest, particularly in supporting complex ocean operations. This paper proposes an intelligent hybrid algorithm tha...
ver más
|
|
|
|
|
|
|
|
|
|
|
Bowen Sui, Jianqiang Zhang, Zhong Liu and Junbao Wei
This paper proposes a fixed-time prescribed performance control technique to address the challenge of precise trajectory tracking control for unmanned surface vessels (USVs) in the presence of external time-varying disturbances and input saturation. To b...
ver más
|
|
|
|
|
|
|
|
|
|
|
Guoquan Xiao, Guihong Zheng, Chao Tong and Xiaobin Hong
An overall framework of the virtual testing system has been established based on the analysis of the virtual testing requirements for autonomous navigation performance of unmanned surface vehicles (USVs). This system consists of several modules, includin...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yuanming Chen, Xiaobin Hong, Bin Cui and Rongfa Peng
With the increasingly maturing technology of unmanned surface vehicles (USVs), their applications are becoming more and more widespread. In order to meet operational requirements in complex scenarios, the real-time interaction and linkage of a large amou...
ver más
|
|
|
|
|
|