제어로봇시스템학회:학술대회논문집
- 제어로봇시스템학회 1993년도 한국자동제어학술회의논문집(국내학술편); Seoul National University, Seoul; 20-22 Oct. 1993
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- Pages.710-717
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- 1993
적응 퍼지-뉴로 제어기의 설계와 응용
Design & application of adaptive fuzzy-neuro controllers
- Kang, Kyeng-Wuon (Dept. of Electronics Engineering, Chung Ang University) ;
- Kim, Yong-Min (Dept. of Electronics Engineering, Chung Ang University) ;
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Kang, Hoon
(Dept. of Control & Instrumentation Engineering, Chung Ang University) ;
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Jeon, Hong-Tae
(Dept. of Electronics Engineering, Chung Ang University)
- 발행 : 1993.10.01
초록
In this paper, we focus upon the design and applications of adaptive fuzzy-neuro controllers. An intelligent control system is proposed by exploiting the merits of two paradigms, a fuzzy logic controller and a neural network, assuming that we can modify in real time the consequential parts of the rulebase with adaptive learning, and that initial fuzzy control rules are established in a temporarily stable region. We choose the structure of fuzzy hypercubes for the fuzzy controller, and utilize the Perceptron learning rule in order to update the fuzzy control rules on-line with the output error. And, the effectiveness and the robustness of this intelligent controller are shown with application of the proposed adaptive fuzzy-neuro controller to control of the cart-pole system.
키워드