Automatic Numerical Rule Generation for Fuzzy Controller from Sensor Data by a Modified GA-based Method
نویسندگان
چکیده
A method is proposed to automatically extract numerical control rules from the sensor data without the help of experts by means of a Genetic Algorithms(GA) , which add a different bit crossover operator to the standard GA in order to increases the diversity of individuals and reduce the opportunities of falling into local optima. Every generated numerical rule is accumulated in a control table called a numerical rule-based controller. A illustrative experiment are successfully made on the computer simulation. The experimental results reveal that the proposed approach is efficient and effective to design a fuzzy system.
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تاریخ انتشار 2002