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Hierarchical Fuzzy Intelligent Controller for Gymnastic Bar Actions
Junji Nishino, Akihiro Tagawa, Haruhiko Shirai, Tomohiro Odaka and Hisakazu Ogura
Department of Information Science, Faculty of engineering, Fukui University 3-9-1 Bunkyou, Fukui-shi, Fukui 910-8507, Japan
Received:June 15, 1998Accepted:November 2, 1998Published:April 20, 1999
Keywords:Fuzzy intelligent control, Hierarchical Control system, Linguistic knowledge expression
Abstract
We introduce hierarchical fuzzy intelligent control for high-level navigation tasks in a unstable system. Control uses linguistic expressed knowledge and consists of three subsystems - planning, navigation, and regulation. System performance is demonstrated in a gymnastic action behavior control problem. Gymnastic action is a difficult task for control, because it has many difficult-to-handle properties such as nonlinearity, numerous degrees of freedom, and unstable behavior. We show the controller realize gymnastic action sequences with linguistic knowledge in 5-link dynamic model computer simulation.
Cite this article as:J. Nishino, A. Tagawa, H. Shirai, T. Odaka, and H. Ogura, “Hierarchical Fuzzy Intelligent Controller for Gymnastic Bar Actions,” J. Adv. Comput. Intell. Intell. Inform., Vol.3 No.2, pp. 106-113, 1999.Data files:
