Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 2000.07d
- /
- Pages.2693-2695
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- 2000
Control Of A Bounded-Input Plant Using Neural Network
신경망을 이용한 입력제한 플랜트의 제어
-
Kim, Dong-Hee
(Dept. of Electrical Eng. Kyungpook Nat. Univ.)
;
- Lee, Si-Il (Dept. of Electrical Eng. Kyungpook Nat. Univ.) ;
- Kim, Sung-Sik (Dept. of Electrical Eng. Kyungpook Nat. Univ.) ;
-
Ryoo, Dong-Wan
(Dept. of Electrical Eng. Kyungpook Nat. Univ.)
;
- Seo, Bo-Hyeok (Dept. of Electrical Eng. Kyungpook Nat. Univ.)
-
김동희
(경북대학교 대학원 전기공학과)
;
- 이시일 (경북대학교 대학원 전기공학과) ;
- 김성식 (경북대학교 대학원 전기공학과) ;
-
유동완
(경북대학교 대학원 전기공학과)
;
- 서보혁 (경북대학교 대학원 전기공학과)
- Published : 2000.07.17
Abstract
Generally, neural networks can be used efficiently for the identification and control of nonlinear dynamical system, then it always needs to learn in order that the output values is closed to desired values. But, if plant input to control is limited to certain bounded values, former learning rules has the another problem. This paper demonstrates algorithm to control the bounded-input plant using neural network controller.
Keywords