Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 1996.07b
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- Pages.1073-1075
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- 1996
Control of the Nonlinear System Using Neuro Fuzzy Network
뉴로 퍼지망을 이용한 비선형 시스템 제어
- Kim, Dong-Hoon (Department of Electrical Engineering Kyungpook National University) ;
- Lee, Young-Seog (Department of Electrical Engineering Kyungpook National University) ;
- Seo, Bo-Hyeok (Department of Electrical Engineering Kyungpook National University)
- Published : 1996.07.22
Abstract
This paper presents a neuro fuzzy system(NFS) for implementing fuzzy inference system with a monotonic membership function. The modeling and control of a discrete nonlinear system using a NFS is described. The membership function parameters of a identifier and controller are adjusted by back-propagation algorithm. These identifier and controller is constructed to proposed NFS. A on-line identification and control are accomplished by this NFS. A controller is gived information of the system, that is variation of the system output according to that of the control input by a identifier. A controller makes control input in order to control discrete-time nonlinear system. A Simulation is presented to demonstrate the efficiency of a suggested method.
Keywords