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In this paper, an industrial controller is designed with the neuro-fuzzy model based on Sugeno-type fuzzy inference. The designed controller is a nonlinear system, which uses the relation between input and output data. The fuzzy system is employed as the controller, which can be tuned itself by the neural network mechanism based on a gradient descent technique. The controller is implemented with M-file...