Brief paper: Robust consensus of multi-agent systems with diverse input delays and asymmetric interconnection perturbations

Authors:
Yu-Ping Tian;Cheng-Lin Liu
Affiliations:
School of Automation, Southeast University, Nanjing 210096, PR China;School of Automation, Southeast University, Nanjing 210096, PR China
Venue:
Automatica (Journal of IFAC)
Year:
2009

Citing 1
Cited 8

Stability analysis and design of the second-order congestion control for networks with heterogeneous delays

IEEE/ACM Transactions on Networking (TON)

Consensus of multi-agent systems with sampled information and input delay

IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
Consensus problem of discrete-time second-order multi-agent network with communication delays

IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
Formation control of VTOL Unmanned Aerial Vehicles with communication delays

Automatica (Journal of IFAC)
Consensus of second-order multi-agent systems with nonsymmetric interconnection and heterogeneous delays

International Journal of Automation and Computing
On consensus algorithms design for double integrator dynamics

Automatica (Journal of IFAC)
Consensus in the network with uniform constant communication delay

Automatica (Journal of IFAC)
Consensus of high-order multi-agent systems with large input and communication delays

Automatica (Journal of IFAC)
Teleoperation of multi-agent systems with nonuniform control input delays

Integrated Computer-Aided Engineering

Quantified Score

Hi-index	22.15

Visualization

Abstract

The consensus problem of second-order multi-agent systems with diverse input delays is investigated. Based on the frequency-domain analysis, decentralized consensus conditions are obtained for the multi-agent system with symmetric coupling weights. Then, the robustness of the symmetric system with asymmetric perturbation is studied. A bound of the largest singular value of the perturbation matrix is obtained as the robust consensus condition. Simulation examples illustrate the design procedure of consensus protocols and validate the correctness of the results.