AN ADAPTIVE FUZZY ROBOT CONTROL WITHOUT A FUZZY RULE BASE
Branko Novakovic, Bozo Vranjes, Dario Novakovic, Dubravko Majetic, Josip Kasac, Danko Brezak
FSB-University of Zagreb, Luciceva 5, P.O.B. 509, 10000 Zagreb, Croatia, Tel. (+385) 1 61 68 354, Fax. (+385) 1 61 56 940, E-mail: branko.novakovic@fsb.hr
Abstract : A vexing problem in a conventional fuzzy control is the exponential growth in rules as the number of variables increases. This problem is avoided here by the introduction of a new, nonconventional analytic adaptive method for synthesising the fuzzy robot control. For this purpose a new adaptive analytic function is defined that determines the positions of the centres of the output fuzzy sets, instead of the definition of a fuzzy rule base. This function is adapted by changing the free fuzzy-set parameters. The proposed analytic approach to the synthesis of an adaptive fuzzy logic control, has been tested by a numerical simulation of an analytic adaptive fuzzy control system for a robot with four degrees of freedom.
Keywords: Fuzzy systems; Fuzzy control; Adaptive algorithms; Adaptive control; Discrete-time systems; Robot control
Session slot T-Th-E18: Intelligent Robotics/Area code 1d : Robotics

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