대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)
- 대한전기학회 1999년도 하계학술대회 논문집 G
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- Pages.2959-2961
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- 1999
퍼지이론과 신경회로망의 합성진 의한 제어기 설계
Controller Design Using a fuzzy Theory and Neural Network
- Oh, Jong-In (Hong Ik Univ.) ;
- Lee, Kee-Seong (Hong Ik Univ.) ;
- Cho, Hyun-Chul (Kyung Pook College)
- 발행 : 1999.07.19
초록
A position control algorithm for a inverted pendulum is studied. The proposed algorithm is based on a fuzzy theory and Generalized Radial Basis Function(GRBF). The conventional fuzzy methods need expert's knowledges or human experiences. The GRBF, which is an optimization algorithm, tunes automatically the input-output membership parameters and fuzzy rules. The simulation is presented to illustrate the approaches.
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