Proceedings of the KAIS Fall Conference (한국산학기술학회:학술대회논문집)
- 2007.05a
- /
- Pages.150-153
- /
- 2007
Design of Multi-Dynamic Neuro-Fuzzy Controller for Dynamic Systems Control
동적시스템 제어를 위한 다단동적 뉴로-퍼지 제어기 설계
- Cho, Hyun-Seob (Dept of Digital Broadcast Engineering Chungwoon University) ;
- Min, Jin-Kyoung (Yonsei Uni. Industrial Academic Co-Operation Foundation)
- Published : 2007.05.17
Abstract
The intent of this paper is to describe a neural network structure called multi dynamic neural network(MDNN), and examine how it can be used in developing a learning scheme for computing robot inverse kinematic transformations. The architecture and learning algorithm of the proposed dynamic neural network structure, the MDNN, are described. Computer simulations are demonstrate the effectiveness of the proposed learning using the MDNN.
Keywords