论文标题
具有量化的相对状态测量的多代理系统的自触发共识
Self-triggered Consensus of Multi-agent Systems with Quantized Relative State Measurements
论文作者
论文摘要
本文解决了无向图上的一阶连续时间多代理系统的共识问题。每个代理以自触发的方式对相对状态测量进行采样，并将测量结果的总和传递给其邻居。此外，我们使用有限级动态量化器并应用缩放技术。拟议的量化和自触发抽样的联合设计方法实现了渐近共识，事件间的时间严格是正面的。采样时间通过迭代程序明确确定，包括兰伯特$ W $功能的计算。提供了一个模拟示例来说明所提出的方法的有效性。
This paper addresses the consensus problem of first-order continuous-time multi-agent systems over undirected graphs. Each agent samples relative state measurements in a self-triggered fashion and transmits the sum of the measurements to its neighbors. Moreover, we use finite-level dynamic quantizers and apply the zooming-in technique. The proposed joint design method for quantization and self-triggered sampling achieves asymptotic consensus, and inter-event times are strictly positive. Sampling times are determined explicitly with iterative procedures including the computation of the Lambert $W$-function. A simulation example is provided to illustrate the effectiveness of the proposed method.
