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Periodic Event-Triggered Control strategy for a (3,0) mobile robot network

机译:定期事件触发的A(3,0)移动机器人网络的控制策略

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This work deals with the development of a nonlinear Periodic Event-Triggered Control strategy employed to the consensus of a multi-vehicle autonomous system based on (3,0) mobile robots. First, the existence of the Control Lyapunov Function (CLF) applicable to the consensus problem is proven. This is subsequently used to develop event and feedback functions. The Periodic Event-Triggered Control ensures trajectories boundedness and convergence to consensus while a specific sampling period is provided. Also, the formation problem is addressed as an extension of the presented work. Experimental results show the performance of the proposed control strategy which reduces 99.78% the number of control updates compared to a continuous control law, resulting in energy saving for the information transfer from central control to the mobile robots. (C) 2019 ISA. Published by Elsevier Ltd. All rights reserved.
机译:这项工作涉及基于(3,0)移动机器人的多车辆自治系统共识的非线性定期事件触发控制策略的发展。 首先,证明了适用于共识问题的控制Lyapunov函数(CLF)的存在。 随后用于开发事件和反馈函数。 周期性事件触发的控制确保了在提供特定采样期间的轨迹有界性和融合到共识。 此外,形成问题是作为所提出的工作的扩展。 实验结果表明,拟议的控制策略的性能降低了与连续控制规律相比的控制更新数量,导致信息从中央控制转移到移动机器人的节能。 (c)2019 ISA。 elsevier有限公司出版。保留所有权利。

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