Neuro-fuzzy Model-based Control

The paper deals with the Neuro-fuzzy model-based control and its application. Various types of the fuzzy logic and neural-net-based nonlinear autoregressive models with exogenous variables are reviewed with respect to the model error. Two types of model-based neuro-fuzzy control – a cancellation controller and a predictive controller are reviewed – and the robustness issues of such control are discussed. Finally, the application of the proposed design method to a laboratory scale heat exchanger is given.

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