An Algorithm for Online Self-organization of Fuzzy Controllers
نویسندگان
چکیده
This work presents a fuzzy controller capable of designing its own structure online, based on the data obtained during the normal system operation. The algorithm does not use previous information about the differential equations that define the plant’s behaviour. The controller may be initially empty, as the method is able to distinguish the important input variables by assigning them more membership functions. With this aim, the method works in two stages: the adaptation of the consequents for every tested topology and the online addition of new membership functions. To show its capabilities, simulation results with a liquid tank system are analyzed.
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