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Consensus of double-integrator multi-agent systems without relative states derivative under relative-state dependent measurement noises

机译:在相对状态依赖性测量噪声下,没有相对状态的双积分器多种子体系统的共识

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摘要

This paper proposes a consensus protocol for continuous-time double-integrator multi-agent systems under noisy communication in directed topologies. Each agent's control input relies on its own velocity and the relative positions with neighbours; it does not require the relative velocities. The agent receives its neighbours' positions information corrupted by time-varying measurement noises whose intensities are proportional to the absolute relative distance that separates the agent from the neighbours. The consensus protocol is mainly based on the velocity damping gain to derive conditions under which the unbiased mean square chi-consensus is achieved in directed fixed topologies, and the unbiased mean square average consensus is achieved in directed switching topologies. The mean square state errors are quantified for both the positions and velocities. Finally, to illustrate the approach presented, some numerical simulations are performed.
机译:本文提出了一种在指示拓扑中嘈杂通信下的连续时间双积分器多智能体系的共识协议。每个代理的控制输入依赖于其自身的速度和与邻居的相对位置;它不需要相对速度。该代理通过时变测量噪声接收其邻居的位置信息,其强度与将代理与邻居分离的绝对相对距离成比例。共有协议主要基于速度阻尼增益来实现在指导的固定拓扑中实现无偏均方的扁平共识的衍生条件,并且在指导的切换拓扑中实现了无偏的均方平均共识。对于位置和速度来说,量化均方误差。最后,为了说明所呈现的方法,执行一些数值模拟。

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