This paper considers a hierarchical consensus problem in hybrid multiagent systems. By partitioning the agents into several groups, each group contains a value concerning all the state information inside the group, which is called group information. For each single agent, its control input includes not only the inner-group neighboring agent information but also the group information from its neighboring groups. Moreover, we discuss two kinds of hybrid systems composing of both continuous-time and discrete-time dynamic information and propose the corresponding control laws. Finally, simulations are provided to demonstrate the effectiveness of our theoretical results.
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