2024 : 4 : 17
Khosro Khandani

Khosro Khandani

Academic rank: Associate Professor
ORCID: https://orcid.org/0000000217623541
Education: PhD.
ScopusId: 35753283400
Faculty: Engineering
Address: Arak University
Phone: 086-32625324

Research

Title
Consensus of Uncertain Linear Multi-agent Systems with Granular Fuzzy Dynamics
Type
JournalPaper
Keywords
Consensus, Granular fuzzy, Multi-agent systems, Uncertainty
Year
2022
Journal INT J FUZZY SYST
DOI
Researchers Razieh Abdollahipour ، Khosro Khandani ، Ali Akbar Jalali

Abstract

This paper is devoted to investigate the distributed consensus problem for multi-agent systems with uncertain agent models. The uncertainty in the agents' dynamics is considered as granular fuzzy numbers and consequently the consensus error is a granular fuzzy number. It is proven that this error converges to zero asymptotically using the proposed fuzzy consensus protocol. Additionally, the definition of granular fuzzy consensus surface is proposed which determines the robustness of the consensus protocol to changes in the communication topology. Necessary and sufficient conditions are proposed to ensure that an unbounded fuzzy consensus surface can be reached with the proposed consensus protocol. The final consensus value as a fuzzy number is also calculated in presence of uncertainty. Simulation examples corroborate the efficiency of the presented method.