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Collective tracking control for multi‐agent system on balanced graphs
Author(s) -
Peng Ke,
Yang Yupu
Publication year - 2011
Publication title -
asian journal of control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.769
H-Index - 53
eISSN - 1934-6093
pISSN - 1561-8625
DOI - 10.1002/asjc.351
Subject(s) - tracking (education) , measure (data warehouse) , network topology , control (management) , multi agent system , decomposition , computer science , control theory (sociology) , state (computer science) , collective behavior , perspective (graphical) , topology (electrical circuits) , engineering , artificial intelligence , data mining , algorithm , computer network , psychology , pedagogy , ecology , sociology , biology , anthropology , electrical engineering
In this paper, we consider a collective tracking problem of a multi‐agent system which has a varying‐velocity leader and evolves on balanced information topologies. First, we propose a coordination‐variable‐based control strategy for every agent to track the leader whose state may not be measured. Moreover, from a collective behavior perspective, a new decomposition method is utilized to decompose the resulting closed‐loop system into two subsystems, and a novel measure also is introduced to characterize collective tracking performance of the system. Finally, we prove that the proposed control strategy can not only estimate the tracking errors but also increase the introduced measure to improve collective tracking performance even under the case of balanced information topologies. Copyright © 2011 John Wiley and Sons Asia Pte Ltd and Chinese Automatic Control Society