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In this paper, we propose a control system based on an improved model auto‐fusion cerebellar perceptron using feedback error learning (FEL) which imitates the human cerebellum, and apply it to the consensus problem of a multiagent system (MAS). It is important to control multiple agents because each of them has its own scale and complexity. Therefore, coordinative control of the MAS for each autonomous...
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