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Fuzzy logic has been found to be a very effective mathematical tool for dealing with the modelling and control aspects of complex industrial processes. In this paper, we outline the methodology which is embedded in fuzzy logic for modelling and control in retrospect. We give also a conceptual framework for cognitive controllers, a new type of controllers having adaptive and learning abilities and which are based upon a neural-net framework. The learning and adaptive capabilities, along with the simplicity of designing the control algorithms, which can be embedded into neural-like layers, may provide a new control framework to contol systems engineers.