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This paper studies a distributed average tracking problem for a class of networked agents subject to heterogeneous unknown nonlinearities. The object is to design distributed protocols so as to drive these dynamic agents cooperatively tracking the average of multiple unknown signals. First, an initialize‐free robust algorithm is designed for each agent incorporating a local filter, a neural network...