대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)
- 대한전기학회 1999년도 하계학술대회 논문집 B
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- Pages.933-935
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- 1999
신경회로망을 이용한 이산치 혼돈 시스템의 모델 예측제어
Model Predictive Control of Discrete-Time Chaotic Systems Using Neural Network
- Kim, Se-Min (Dept. of Electrical & Computer Engineering, Yonsei Univ.) ;
- Choi, Yoon-Ho (Dept. of Electronic Engineering, Kyonggi Univ.) ;
- Park, Jin-Bae (Dept. of Electrical & Computer Engineering, Yonsei Univ.) ;
- Joo, Young-Hoon (Dept. of Control & Instrumentation Engineering, Kunsan National Univ.)
- 발행 : 1999.07.19
초록
In this paper, we present model predictive control scheme based on neural network to control discrete-time chaotic systems. We use a feedforward neural network as nonlinear prediction model. The training algorithm used is an adaptive backpropagation algorithm that tunes the connection weights. And control signal is obtained by using gradient descent (GD), some kind of LMS method. We identify that the system identification results through model prediction control have a great effect on control performance. Finally, simulation results show that the proposed control algorithm performs much better than the conventional controller.
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