engleski

An approach to combination of fuzzy logic control and neural networks

The combination of fuzzy logic robot control synthesis and dynamic multi-layer neural network is proposed. For this purpose the following objectives are preferred and reached: (i) a new interpretation of the grade of membership or fuzziness of fuzzy control systems, (ii) a determination of analytic activation function, instead of using of min-max operators, (iii) a definition of an analytic function that determines the positions of centres of output fuzzy sets, instead of definition of rule base, (iv) an introduction of an analytic defuzzification formula, (v) an analytic fuzzy logic control synthesis of robot of RRTR-structure, using proposed analytic approach, and (vi) a new dynamic elementary processor in dynamic neural network which is used for the implementation of proposed fuzzy controller.

analytic fuzzy control; dynamic neural networks

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