Coordination of General Multiagent Systems With Antagonistic Information and Communication Constraints

A common trait to characterize antagonistic information, which has been verified to be vital factor in study of collective behaviors, is the signed graph approach where condition on digon sign-symmetry is usually resorted for. In current paper, it is dedicated to the coordination problem associated with general linear multi-agent systems (MASs) in front of antagonistic information, in addition to the presence of communication constraints. Specifically, we use the tool associated with eventually positive matrix, that features several benefits on describing the interactions among participating individuals in contrast with the signed graph theory, to quantify how interacting agents' "opinions" evolve. We give the conditions assuring the consensus, clusters and stability of agents. Furthermore, the derived results are further extended to the case of the communication constraints. leading to the tool from low gain feedback is asked for. To validate the obtained results, numerical examples are given to compared with the existing literature.