Abstract
A Linguistic Equation Framework developed for adaptive expert systems provides a flexible environment for tuning fuzzy logic controllers. Simulation results, expert knowledge and process experiments can be combined in the development procedure. Controllers represented by compact matrix equations are easily combined with corresponding linguistic process models. The controllers are tuned by adjusting the meanings of the linguistic variables to different working areas. The results are used in real control practice by transferring them to automation systems, or to a fuzzy logic. controllerFuzzyCon where the rules and the membership functions can be changed online. FuzzyCon is connected to processes with a data acquisition card, and the data is transferred through DOE-links.
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