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In this paper, the output regulation problem of the nonlinear multi-agent system with dynamic neural networks is addressed. First, we use a neural network to approximate the nonlinear model of the considered multi-agent system by the learning law. Then the output regulation technique is used to the neural network to design a controller, which make the following agents to asymptotically track (or reject)...
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