Open AccessDistributed adaptive consensus protocols for linear multi‐agent systems over directed graphs with relative output information
Author(s) -
Lv Yuezu,
Li Zhongkui,
Duan Zhisheng
Publication year - 2018
Publication title -
iet control theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.059
H-Index - 108
eISSN - 1751-8652
pISSN - 1751-8644
DOI - 10.1049/iet-cta.2017.0615
Subject(s) - consensus , computer science , multi agent system , protocol (science) , observer (physics) , protocol design , distributed computing , directed graph , control theory (sociology) , communications protocol , computer network , algorithm , control (management) , artificial intelligence , medicine , physics , alternative medicine , pathology , quantum mechanics
This study is concerned with the fully distributed output feedback consensus protocol design problem for multi‐agent systems with general linear dynamics over directed graphs. The authors propose new distributed observer‐based adaptive consensus protocols to achieve consensus for strongly connected directed graphs or leader–follower graphs. Different from the existing adaptive output feedback consensus protocols, which either depend on the absolute output information of each agent and its neighbours or are not fully distributed, the protocols designed in this study relying on only relative output information of neighbouring agents, can be implemented in a fully distributed way.