基于事件触发采样的分布式自适应共识:一种基于边缘的方法

2021 IEEE International Conference on Networking, Sensing and Control (ICNSC) Pub Date : 2021-12-03 DOI:10.1109/ICNSC52481.2021.9702132

Dongdong Yue, S. Baldi, Wenying Xu, Jinde Cao

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引用次数: 0

摘要

研究了一般线性多智能体系统在事件触发抽样机制下的分布式自适应一致性控制问题。我们提出了一种新的基于边缘的方法，在每个通信链路上，共同设计一个自适应耦合增益通道和一个采样触发函数。该方法的优点是既不需要网络特征值的全局知识来进行增益选择，也不需要连续状态采样来进行控制。

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Distributed Adaptive Consensus via Event-triggered Sampling: An Edge-based Method

This paper addresses distributed adaptive consensus control of general linear multiagent systems (MASs) under event-triggered sampling mechanism. We propose a novel edge-based method in which, for each communication link, an adaptive coupling gain channel and a sampling triggering function are co-designed. The benefits are that the proposed method requires neither the global knowledge of the network eigenvalues for gain selection, nor continuously state sampling for control.

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2021 IEEE International Conference on Networking, Sensing and Control (ICNSC)

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