Title :
Stability of fuzzy control systems
Author :
Batur, C. ; Leephakpreeda, T.
Author_Institution :
Dept. of Mech. Eng., Akron Univ., OH, USA
fDate :
27 Jun-2 Jul 1994
Abstract :
Stability of a class of fuzzy control systems is analyzed by replacing the fuzzy controller with an appropriate describing function. Nonlinear analytical expressions for fuzzy controllers are derived. These expressions are numerically approximated by describing functions. The Nyquist stability criterion is used to determine the stability of the fuzzy control system. Numerical examples illustrate the methodology
Keywords :
Nyquist criterion; describing functions; fuzzy control; Nyquist stability criterion; describing function; fuzzy control system stability; nonlinear analytical expressions; Error correction; Fuzzy control; Limit-cycles; Lyapunov method; Mechanical engineering; PD control; Process control; Proportional control; Stability analysis; Stability criteria;
Conference_Titel :
Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1901-X
DOI :
10.1109/ICNN.1994.374632
