Title :
A criterion for knowledge base decoupling in fuzzy-logic control systems
Author :
De Silva, Clarence W.
Author_Institution :
Dept. of Mech. Eng., British Columbia Univ., Vancouver, BC
fDate :
10/1/1994 12:00:00 AM
Abstract :
In a coupled rule base, more than one condition variable may link with more than one action variable within the same rule. This paper develops an analytical framework for decoupling such a rule base, with specific reference to fuzzy-logic control. The computational problem of fuzzy-logic is greatly simplified through the use of an uncoupled rule base. Conditions are derived, under which, decision making through an uncoupled rule base becomes equivalent to that through a coupled rule base. A laboratory prototype of a single-axis servo motor system which incorporates a knowledge-based tuner is employed to demonstrate the effective use of an uncoupled rule base that is equivalent to a coupled one
Keywords :
DC motors; fuzzy control; intelligent control; knowledge based systems; machine control; tuning; coupled rule base; fuzzy-logic control systems; knowledge base decoupling; knowledge-based tuner; single-axis servo motor system; uncoupled rule base; Automation; Control systems; Couplings; Decision making; Laboratories; Mechanical engineering; Prototypes; Servomechanisms; Servomotors; Tuners;
Journal_Title :
Systems, Man and Cybernetics, IEEE Transactions on