The Design and Simulation Based on Neural Network Self-organizing Fuzzy Logic Controller

The paper studied and designed a neural network self-organizing fuzzy logic controller for vehicle auto driving system.Based on adaptive neuro-fuzzy inference system provided by the MATLAB,the controller used radial basis function neural network studying the road track data sample and gained the rules library of fuzzy control arithmetic.When the trained controller was working in field,it could online learn and adjust the parameters to optimize the action performance for fitting different road track conditions.Finally,the MATLAB simulation results shows,the neural network self-organizing fuzzy logic controller is effective for our vehicle system.