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Trajectory Estimation and Control of Vehicle using Neuro-Fuzzy Technique


Boumediene Selma, Samira Chouraqui


Vol. 13  No. 3  pp. 95-100


Nonlinear system identification is becoming an important tool which can be used to improve control performance. This paper describes the application of adaptive neuro-fuzzy inference system (ANFIS) model for controlling a car. The vehicle must follow a predefined path by supervised learning. Back-propagation gradient descent method was performed to train the ANFIS system. The performance of the ANFIS model was evaluated in terms of training performance and classification accuracies and the results confirmed that the proposed ANFIS model has potential in controlling the non linear system.


Adaptive Neuro-fuzzy inference system (ANFIS), Fuzzy logic, neural network, nonlinear system, control.