engleski

Self-Organizing RBF Neural Network in Implementation of Analytic Fuzzy Logic Robot Control

The paper presents a real-time domain implementation of a robot fuzzy logic controller (FLC) with a neural network. An adaptive and analytic FLC system synthesis of RRTR robot control, without any rule base, is implemented by Radial Basis Function (RBF) neural network. The self-organizing topology of RBF neural network with new one step learning procedure is established. The proposed neural network learning algorithm shows the great potential in solution of various regression tasks.

Analytic Fuzzy robot control; Radial basis functions (RBF); Self-organizing neural network; Modified RBF learning algorithm; Real-time control

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