DocumentCode :
1917539
Title :
Stability analysis of fuzzy robot control without fuzzy rule base
Author :
Kasac, Josip ; Novakovic, Branko ; Majetic, Dubravko ; Brezak, Danko
Author_Institution :
Fac. of Mech. Eng. & Naval Archit., Zagreb Univ., Croatia
Volume :
1
fYear :
2003
fDate :
20-24 July 2003
Firstpage :
310
Abstract :
This paper presents the stability analysis of an analytic fuzzy PID controller for robot manipulators. The analytic fuzzy control is a nonconventional approach that uses an analytic function for output determination, instead of a fuzzy rule base. The stability analysis is based on Lyapunov´s direct method and does not require representation of the plant dynamics in the form of Takagi-Sugenos´s fuzzy model. The stability criterion, which ensures local asymptotic stability, is obtained. Finally, an example is given to demonstrate the obtained results.
Keywords :
Lyapunov methods; control system analysis; fuzzy control; fuzzy logic; manipulator dynamics; stability; three-term control; Lyapunov´s direct method; analytic function; analytic fuzzy PID controller; analytic fuzzy control; closed loop system; fuzzy robot control; local asymptotic stability; robot dynamics; robot manipulators; stability analysis; stability criterion; Control systems; Fuzzy control; Fuzzy logic; Fuzzy sets; Fuzzy systems; Manipulator dynamics; Nonlinear dynamical systems; Robot control; Stability analysis; Three-term control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 2003. Proceedings of the International Joint Conference on
ISSN :
1098-7576
Print_ISBN :
0-7803-7898-9
Type :
conf
DOI :
10.1109/IJCNN.2003.1223363
Filename :
1223363
Link To Document :
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