DocumentCode :
2272701
Title :
Incorporating cell map information in fuzzy controller design
Author :
Hu, Hernt-Tai ; Tai, Heng-Ming ; Shenoi, Sujeet
Author_Institution :
Center for Intelligent Syst., Tulsa Univ., OK, USA
fYear :
1994
fDate :
26-29 Jun 1994
Firstpage :
394
Abstract :
Cell mapping is a powerful mechanism for evaluating the global behavior of nonlinear dynamical systems. A cell map conveys direct information about system dynamics, including the regions of stability, the set of controllable initial states and system trajectories. This paper shows how cell map information can be incorporated in a genetic algorithm for tuning fuzzy controller parameters. The resulting fuzzy controller exhibits superior performance to controllers designed using conventional techniques. It has near time-optimal characteristics with maximal stability and controllability
Keywords :
controllability; fuzzy control; genetic algorithms; nonlinear dynamical systems; stability; tuning; cell map information; controllable initial states; fuzzy controller design; genetic algorithm; global behavior; maximal controllability; maximal stability; near time-optimal characteristic; nonlinear dynamical systems; regions of stability; system trajectories; tuning; Control systems; Controllability; Ear; Fuzzy control; Fuzzy systems; Genetic algorithms; Intelligent systems; Optimal control; Stability; Trajectory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1896-X
Type :
conf
DOI :
10.1109/FUZZY.1994.343665
Filename :
343665
Link To Document :
بازگشت