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
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;
Conference_Titel :
Fuzzy Systems Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-4863-X
DOI :
10.1109/FUZZY.1998.687499