Impulsive bounded consensus of two-layer multi-agent networks under deception attacks
Anan Gao,
Aihua Hu,
Yinghua Jin
et al.
Abstract:This paper investigates the mean-square bounded consensus issue in a two-layer multi-agent network under deception attacks. The two-layer network is composed of the leader and follower layers with a switching topology. Employing an impulsive control method, the mean-square bounded consensus for the leader layer and the node-to-node mean-square bounded consensus of the two-layer network are analyzed. Based on the knowledge of graph theory, Lyapunov stability theory, and linear matrix inequalities, sufficient co… Show more
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