Impulsive Control of Heterogeneous Multi-agent Systems with Saturation Constraint and Time Delay

This paper addresses the problem of leader-following consensus in heterogeneous multi-agent systems (HMAS) with input saturation and communication delay. Given the practical differences between leader and follower dimensions, we design virtual leaders to address this problem by allowing actual leaders and followers to communicate with virtual leaders separately, thus enabling indirect communication between actual leaders and followers. Additionally, the control protocol proposed in this paper takes into account the effects of input saturation and time delay that exist in real communication. At last, a simulation example is presented to demonstrate the effectiveness of the designed control protocol.

Authors

Institutions

Publication Details

Published
2024-11-01
DOI
https://doi.org/10.1109/cac63892.2024.10865027
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Impulsive Control of Heterogeneous Multi-agent Systems with Saturation Constraint and Time Delay

Runxian Jiao, Xiangyong Chen, Bo Li, Xiaowei Jiang
Distributed Control Multi-Agent Systems
article

Impulsive Control of Heterogeneous Multi-agent Systems with Saturation Constraint and Time Delay

Runxian Jiao, Xiangyong Chen, Bo Li, Xiaowei Jiang
article en

Abstract

This paper addresses the problem of leader-following consensus in heterogeneous multi-agent systems (HMAS) with input saturation and communication delay. Given the practical differences between leader and follower dimensions, we design virtual leaders to address this problem by allowing actual leaders and followers to communicate with virtual leaders separately, thus enabling indirect communication between actual leaders and followers. Additionally, the control protocol proposed in this paper takes into account the effects of input saturation and time delay that exist in real communication. At last, a simulation example is presented to demonstrate the effectiveness of the designed control protocol.

Linyi University (CN), Anhui University of Finance and Economics (CN), China University of Geosciences (CN)
Climate action
Openalex Percentile: Top 68%
Distributed Control Multi-Agent Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Impulsive Control of Heterogeneous Multi-agent Systems with Saturation Constraint and Time Delay — Runxian Jiao, Xiangyong Chen, et al. · (2024) | TGRS Research Map | TGRS