DocumentCode
325182
Title
Dynamic fuzzy control and system stability for the Acrobot
Author
Smith, Michael H. ; Zhang, Tiehua ; Gruver, William A.
Author_Institution
Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA
Volume
1
fYear
1998
fDate
4-9 May 1998
Firstpage
286
Abstract
This paper discusses the swing-up control of a two link robot mechanism known as the Acrobot. Previously, a technique using meta-rules was proposed to compensate for external disturbances when using a dynamic fuzzy controller. In this paper, stability of the meta-rule system is analyzed from a global asymptotic stability viewpoint based on fuzzy characteristic matrices. These matrices are generated from the first phase of a three phase learning process involving the combination of genetic algorithms, dynamic switching fuzzy systems, and meta-rule techniques with the purpose of developing a better performing fuzzy controller
Keywords
asymptotic stability; fuzzy control; genetic algorithms; intelligent control; learning systems; robot dynamics; Acrobot; asymptotic stability; dynamic switching fuzzy systems; fuzzy characteristic matrices; fuzzy control; genetic algorithms; learning process; meta-rules; swing-up control; two link robot; Automatic control; Control systems; Fuzzy control; Fuzzy reasoning; Fuzzy systems; Genetic algorithms; Leg; PD control; Robot kinematics; Stability;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on
Conference_Location
Anchorage, AK
ISSN
1098-7584
Print_ISBN
0-7803-4863-X
Type
conf
DOI
10.1109/FUZZY.1998.687499
Filename
687499
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