Consensus of Linear Multi-Agent System with Unknown Input Time-Varying Delay by Linear Time-Varying Protocol

This paper addresses the leader-following consensus problem of linear multi-agent systems subject to unknown input time-varying delays. A linear time-varying control protocol is proposed based on the parametric Lyapunov equation (PLE), and all parameters can be computed offline. By exploiting the properties of the PLE, it is proven that the proposed method ensures asymptotic leader-following consensus without requiring any a priori information on the delay value or its upper and lower bounds. Simulation results are provided to validate the theoretical analysis and demonstrate the effect of the design parameter on the system performance under unknown input time-varying delays.

Authors

Institutions

Publication Details

Journal
Complex Systems Stability & Control
Published
2026-04-30
DOI
https://doi.org/10.53941/cssc.2026.100008
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Consensus of Linear Multi-Agent System with Unknown Input Time-Varying Delay by Linear Time-Varying Protocol

Kai Zhang, Jun-Hua Peng
Complex Systems Stability & Control
Distributed Control Multi-Agent Systems
article

Consensus of Linear Multi-Agent System with Unknown Input Time-Varying Delay by Linear Time-Varying Protocol

Kai Zhang, Jun-Hua Peng
article en

Abstract

This paper addresses the leader-following consensus problem of linear multi-agent systems subject to unknown input time-varying delays. A linear time-varying control protocol is proposed based on the parametric Lyapunov equation (PLE), and all parameters can be computed offline. By exploiting the properties of the PLE, it is proven that the proposed method ensures asymptotic leader-following consensus without requiring any a priori information on the delay value or its upper and lower bounds. Simulation results are provided to validate the theoretical analysis and demonstrate the effect of the design parameter on the system performance under unknown input time-varying delays.

Complex Systems Stability & ControlVol. 2(2)
Harbin Institute of Technology (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation
Openalex Percentile: Top 6%
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.