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The control architecture proposed in this paper is based on fuzzy basis function and has successfully incorporated the advantages of adaptive control and robust control, and thus is beneficial to the tracking control of the reference model. Two cases are given to illustrate the performance of the proposed method. Computer simulation results confirm that the proposed method not only satisfied tracking...
A driver's steering control was modeled by using an idea of target position. The proposed model dealt with the driver's decision-making mechanisms in tracking a target position by means of neuro-fuzzy system. Here, a cubic B-spline curve was employed to generate more flexible paths of lane- change to a target position. Additionally, a learning algorithm, utilizing local linear networks in the corresponding...
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