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Velocity Free Platoon Formation Control for Unmanned Surface Vehicles with Output Constraints and Model Uncertainties

机译:无人面车辆具有输出约束和模型不确定性的无人面车辆的自由排列控制

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摘要

This paper studies the velocity free platoon formation control for unmanned surface vehicles (USVs) with the model uncertainties and output constraints. Firstly, a reconstruction module is designed to estimate the velocity of the leader, which will be completed in finite time and will reduce the communication burden. Along with this, the model-based control combined with the symmetric barrier Lyapunov functions (BLF) method is designed to guarantee the output constraints. Then, the model uncertainties of the USV are approximated by the neural networks (NNs) and the NN BLF control is developed. To achieve the desired formation pattern, the constraints, including collision avoidance and communication distance, are under consideration. Finally, we proved that our system is semiglobally uniformly ultimately bounded (SGUUB) and verified the effectiveness of this approach by simulations.
机译:本文研究了无人面车辆(USV)的无速度自由排组件控制,具有模型不确定性和输出约束。首先,设计重建模块旨在估计领导者的速度,这将在有限时间内完成,并将减少通信负担。除此之外,与对称屏障Lyapunov功能(BLF)方法相结合的基于模型的控制旨在保证输出约束。然后,USV的模型不确定性由神经网络(NNS)近似,并且开发了NN BLF控制。为了达到所需的形成模式,正在考虑包括碰撞避免和通信距离的约束。最后,我们证明我们的系统是半球形均匀的最终界限(SGUB),并通过模拟验证了这种方法的有效性。

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