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Abstract This paper studies cluster quasi‐consensus problem for a class of unknown nonlinear multiagent systems (MASs) with directed communication topology. First, a distributed continuous neural network (NN)‐based adaptive protocol is presented for solving this problem by introducing reference model to each agent. Then, taking limited communication resource and energy consumption into account, a distributed event‐triggered cluster quasi‐consensus protocol is proposed. Different from the existing results, two event‐triggered mechanisms are constructed in the proposed event‐triggered protocol to reduce communication load and control update frequency as possible. The sufficient conditions that guarantee cluster quasi‐consensus under the both proposed protocols are obtained, respectively. Zeno behavior is proved to be excluded. Finally, simulation results verify the effectiveness of the proposed protocols.
Tang et al. (Wed,) studied this question.