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High-speed Integer Operations in the Fuzzy Consequent Part and the Defuzzification Stage for Intelligent Systems  

Lee Sang-Gu (Department of Computer Eng., Hannam University)
Chae Sang-Won (Department of Computer Eng., Hannam University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea CI / v.43, no.2, 2006 , pp. 52-62 More about this Journal
Abstract
In a fuzzy control system to process fuzzy data in high-speed for intelligent systems, one of the important problems is the improvement of the execution speed in the fuzzy inference and defuzzification stages. Especially, it is more important to have high-speed operations in the consequent part and defuzzification stage. Therefore, in this paper, to improve the speedup of the fuzzy controllers for intelligent systems, we propose an integer line mapping algorithm using only integer addition to convert [0,1] real values in the fuzzy membership functions in the consequent part to integer grid pixels $(400{\times}30)$. This paper also shows a novel defuzzification algorithm without multiplications. Also we apply the proposed system to the truck backer-upper control system. As a result, this system shows a real-time very high speed fuzzy control as compared as the conventional methods. This system will be applied to the real-time high-speed intelligent systems such as robot arm control.
Keywords
Intelligent system; Integer operation; Defuzzification; Truck backer-upper control system;
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Times Cited By KSCI : 1  (Citation Analysis)
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