Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 2000.07d
- /
- Pages.2699-2701
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- 2000
Nonlinear System control Using the Runge-Kutta Neural Network
Runge-Kutta 신경망을 이용한 비선형 시스템의 제어
- Lee, Si-Il (Dept. of Electrical Eng. Kyungpook Nat. Univ.) ;
-
Kim, Dong-Hee
(Dept. of Electrical Eng. Kyungpook Nat. Univ.)
;
- Kim, Sung-Sik (Dept. of Electrical Eng. Kyungpook Nat. Univ.) ;
- Lee, Young-Seog (Dept. of Electrical Eng. Yeungjin Junior College) ;
- Seo, Bo-Hyeok (Dept. of Electrical Eng. Kyungpook Nat. Univ.)
- 이시일 (경북대학교 대학원 전기공학과) ;
-
김동희
(경북대학교 대학원 전기공학과)
;
- 김성식 (경북대학교 대학원 전기공학과) ;
- 이영석 (영진전문대 전기계열) ;
- 서보혁 (경북대학교 대학원 전기공학과)
- Published : 2000.07.17
Abstract
This paper presents the Runge-Kutta neural networks(RKNN's) using the Runge-Kutta approximation method and the orthogonal function for control of unknown dynamical systems described by ordinary differencial equations in high accuracy. These subnetworks of RKNN's are based on orthogonal function. Computer simulations show the usefulness of the proposed scheme.
Keywords