한국산학기술학회:학술대회논문집 (Proceedings of the KAIS Fall Conference)
- 한국산학기술학회 2008년도 춘계학술발표논문집
- /
- Pages.152-156
- /
- 2008
비선형 시스템의 불확실성을 보상하는 신경회로망 제어
Uncertainty-Compensating Neural Network Control for Nonlinear Systems
- Cho, Hyun-Seob (Dept of Digital Broadcast Engineering Chungwoon University) ;
- Oh, Myoung-Kwan (Dept of Digital Service Hyejeon College)
- 발행 : 2008.05.22
초록
We consider the problem of constructing observers for nonlinear systems with unknown inputs. Connectionist networks, also called neural networks, have been broadly applied to solve many different problems since McCulloch and Pitts had shown mathematically their information processing ability in 1943. In this thesis, we present a genetic neuro-control scheme for nonlinear systems. Our method is different from those using supervised learning algorithms, such as the backpropagation (BP) algorithm, that needs training information in each step. The contributions of this thesis are the new approach to constructing neural network architecture and its training.
키워드