对偶(语法数字)
模型预测控制
控制理论(社会学)
碰撞
图层(电子)
计算机科学
双层
控制(管理)
材料科学
人工智能
纳米技术
计算机安全
文学类
艺术
摘要
ABSTRACT As the demand for various practical applications continues to increase, challenges such as time consumption have compromised the real‐time capabilities of formation agents. Model predictive control (MPC) is known for its computational complexity, which can result in synchronisation issues among followers and leaders. In this study, we propose a dual‐layer formation control strategy. The upper layer focuses on trajectory planning and collision avoidance, utilising MPC and control barrier functions to derive the desired velocities. Within the MPC framework, this approach simplifies the control of second‐order systems—incorporating both trajectories and velocities—into first‐order systems that only require trajectory management. In the lower layer, we establish a new predefined‐time leader‐follower formation control for multiple vessels, designed to achieve the desired velocity. The proposed method is validated through simulations involving multiple unmanned surface vessels.
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