Neuro-Fuzzy Controller in Real Time for a Water Supply System
نویسندگان
چکیده
Substantial developments in optimizing control methods for different purposes have been made in the field of fuzzy control in recent years. However, most of them are based on a known system model, whereas in practice such models are not usually available due to the complexity of the plant to be controlled. In this paper, we present a novel approach to achieve global adaptation in fuzzy controllers.The algorithm does not need a mathematical model of the plant or its approximation by means of a Jacobian matrix. Qualitative knowledge and auxiliary fuzzy controllers help the main controller to accomplish its task in real time. Application to a water supply system of Granada (Spain) is presented.
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