Deakin University
Browse

File(s) under permanent embargo

Designing an H∞ fuzzy LMI-based consensus protocol for nonlinear multi-agent systems

conference contribution
posted on 2019-01-01, 00:00 authored by P Tabarisaadi, Abbas KhosraviAbbas Khosravi, Saeid Nahavandi
© 2019 IEEE. consensus problem of multi agent systems catch great attention in recent years. It is mainly due to its vast applications. Designing an appropriate control protocol that guarantees the desired agreement between the agents is the main purpose of the consensus problem. A linear matrix inequality (LMI)-based approach for the H∞ consensus of leader-follower nonlinear multi-agent system (MAS) is proposed in this paper. In the proposed framework, fuzzy Lyuponov function (FLF) is chosen. Some slack matrices are introduced to decouple the Lyapunov matrices from the systems' one which provide more degrees of freedom to the consensus problem and leads to decrease the conservativeness. As a result, sufficient conditions for consensus problem are presented in terms of LMIs. Finally, In order to evaluate the validity and effectiveness of the proposed approach, a numerical example for consensus of nonlinear MAS with thirteen followers is solved and simulation results are provided. Obtained results demonstrate the solid validity and great effectiveness of the proposed approach.

History

Event

Cloud Computing Technology and Science. Conference (2019 : 11th : Sydney, New South Wales)

Volume

2019-December

Pagination

320 - 325

Publisher

IEEE

Location

Sydney, New South Wales

Place of publication

Piscataway, N.S.W.

Start date

2019-12-11

End date

2019-12-13

ISSN

2330-2194

eISSN

2330-2186

ISBN-13

9781728150116

Language

eng

Publication classification

E1 Full written paper - refereed

Title of proceedings

CloudCom 2019 : Proceedings of the 11th IEEE International Conference on Cloud Computing Technology and Science