제어로봇시스템학회:학술대회논문집
- 제어로봇시스템학회 1994년도 Proceedings of the Korea Automatic Control Conference, 9th (KACC) ; Taejeon, Korea; 17-20 Oct. 1994
- /
- Pages.714-719
- /
- 1994
Suboptimsl control for DC servomotor using neural network
- Kawabata, Hiroaki (Department of Communication Engineering, Faculty of Computer Science and System Engineering, Okayama Prefectural Univ.) ;
- Yoshizawa, Masayuki (Department of Electrical and Electronic Systems, College of Engineering, University of Osaka Prefecture) ;
- Konishi, Keiji (Department of Electrical Engineering, Nara National College of Technology) ;
- Takeda, Yoji (Department of Electrical and Electronic Systems, College of Engineering, University of Osaka Prefecture)
- 발행 : 1994.10.01
초록
This paper proposes a method of suboptimal control for DC servomotor using a neural network. First we consider a nonlinear observer which is constructed by using an approximated linear dynamics of the nonlinear system and a, neural network. The reccurent neural network is used for the learning of the dynamical system. Next we consider the nonlinear observer. Then, we apply the observer output to nonlinear optimal regulator and confirm the effectiveness by applying the method to the inverse pendulum system.
키워드