제어로봇시스템학회:학술대회논문집
- 제어로봇시스템학회 1994년도 Proceedings of the Korea Automatic Control Conference, 9th (KACC) ; Taejeon, Korea; 17-20 Oct. 1994
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- Pages.411-415
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- 1994
Nonlinear system control by use of neural networks
- Zhang, Ping (Graduate School in Engineering, University of Tsukuba) ;
- Sankai, Yoshiyuki (Institute of Engineering Mechanics, University of Tsukuba) ;
- Ohta, Michio (Institute of Engineering Mechanics, University of Tsukuba)
- 발행 : 1994.10.01
초록
An adaptive learning control scheme by use of multilayer neural networks for compensating for uncertainties in nonlinear dynamic system is examined. Multilayer neural networks are introduced to map the uncertainties in nonlinear dynamics and perform nonlinear state feedback. Parameters of neural networks are adjusted by conventional back-propagation algorithms modified with the projection operation. Effectiveness of the proposed scheme for tracking control are demonstrated through computer simulations.
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