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The paper presents a method of data-driven parameter setting based on neural network, which is aimed at the nonlinear controlled objects, and these objects are difficult to establish accurate mathematical model. The network connection weights and node threshold are adjusted to identify the controller parameters by comparison of the virtual reference feedback tuning performance, and this idea can skip...
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