Hierarchical Fuzzy Intelligent Controller for Gymnastic Bar Actions

Junji Nishino; Akihiro Tagawa; Haruhiko Shirai; Tomohiro Odaka; Hisakazu Ogura

doi:10.20965/jaciii.1999.p0106

single-jc.php

« previous

JACIII Vol.3 No.2 pp. 106-113

doi: 10.20965/jaciii.1999.p0106

(1999)

Paper:

Views over last 60 days: 334

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, 1998

Accepted:

November 2, 1998

Published:

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:

This article is published under a Creative Commons Attribution-NoDerivatives 4.0 Internationa License.