An Adaptive Distributed Protocol for Finite-Time Infimum or Supremum Dynamic Consensus

被引：8

作者：

Lippi, Martina ^{[1
]}

Furchi, Antonio ^{[1
]}

Marino, Alessandro ^{[2
]}

Gasparri, Andrea ^{[1
]}

机构：

[1] Roma Tre Univ, Dept Engn, I-00146 Rome, Italy

[2] Univ Cassino & Southern Lazio, Dept Elect & Informat Engn, I-03043 Cassino, Italy

来源：

IEEE CONTROL SYSTEMS LETTERS | 2022年 / 7卷

关键词：

Protocols; Multi-agent systems; Network topology; Europe; Upper bound; Topology; Time-varying systems; Distributed control; adaptive control; dynamic consensus; multi-agent systems; NETWORKS;

D O I：

10.1109/LCSYS.2022.3188941

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this letter, the problem of distributively tracking the minimum infimum (or maximum supremum) of a set of time-varying signals in finite-time is addressed. More specifically, each agent has access to a local time-varying exogenous signal, and all the agents are required to follow the minimum infimum (or the maximum supremum) of these signals in a distributed fashion. No assumption is made on the network size nor on the bounds of the exogenous signal derivatives. An adaptive protocol is provided which can provably solve the above problem in finite-time for multi-agent systems with undirected connected network topologies. Numerical simulations are provided to corroborate the theoretical findings.

引用

页码：401 / 406

页数：6

共 17 条

[1]

Abdelrahim Mahmoud, 2017, 2017 IEEE 56th Annual Conference on Decision and Control (CDC), P4753, DOI 10.1109/CDC.2017.8264362

[2] Distributed Average Tracking of Multiple Time-Varying Reference Signals With Bounded Derivatives [J].