A Follower-Based Control Allocation in Multi-Agent Networks

被引：0

作者：

Buzorgnia, David ^{[1
]}

Aghdam, Amir G. ^{[1
]}

机构：

[1] Concordia Univ, Dept Elect & Comp Engn, 1455 de Maisonneuve Blvd W,EV005-139, Montreal, PQ H3G 1M8, Canada

来源：

2018 ANNUAL AMERICAN CONTROL CONFERENCE (ACC) | 2018年

基金：

加拿大自然科学与工程研究理事会;

关键词：

CONSENSUS; LEADER; OPTIMIZATION; SYSTEMS;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper investigates the consensus problem in a multi-agent system with a leader, using the concept of swarm intelligence. Matrix equations are given to obtain equilibrium state of the network, and the average-based control input is defined accordingly. Two network control rules are subsequently developed, where in one of them the control input is only applied to the leader, and in the other one it is only applied to the neighbors of the leader (follower-based control allocation strategy or swarm intelligence approach). It is shown that the latter control strategy has a faster convergence rate. Simulations confirm the efficacy of the proposed follower-based control allocation strategy.

引用

页码：43 / 48

页数：6

共 20 条

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