A Novel Reliable Leader-Following Consensus for Continuous-Time Multi-Agent Systems Under Nonhomogeneous and Asynchronous Markov Network Topology

Ngoc Nguyen, Sung Kim

2024

Abstract

This paper tackles the challenge of achieving robust leader-following consensus in multi-agent systems facing actuator faults and asynchronous network-dependent controllers. Specifically, it establishes sufficient conditions for ensuring reliable consensus, including: i) integration of actuator faults and network topology asynchronism into the control synthesis for each follower, ii) solutions to convex problems arising from the multiplication between time-varying transition rates and conditional probabilities, and iii) development of an innovative relaxation technique that reformulates H∞stabilization conditions into linear matrix inequalities.

Download


Paper Citation


in Harvard Style

Nguyen N. and Kim S. (2024). A Novel Reliable Leader-Following Consensus for Continuous-Time Multi-Agent Systems Under Nonhomogeneous and Asynchronous Markov Network Topology. In Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO; ISBN 978-989-758-717-7, SciTePress, pages 486-493. DOI: 10.5220/0013063800003822


in Bibtex Style

@conference{icinco24,
author={Ngoc Nguyen and Sung Kim},
title={A Novel Reliable Leader-Following Consensus for Continuous-Time Multi-Agent Systems Under Nonhomogeneous and Asynchronous Markov Network Topology},
booktitle={Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO},
year={2024},
pages={486-493},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013063800003822},
isbn={978-989-758-717-7},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO
TI - A Novel Reliable Leader-Following Consensus for Continuous-Time Multi-Agent Systems Under Nonhomogeneous and Asynchronous Markov Network Topology
SN - 978-989-758-717-7
AU - Nguyen N.
AU - Kim S.
PY - 2024
SP - 486
EP - 493
DO - 10.5220/0013063800003822
PB - SciTePress