其他摘要：In this paper, we combined the BP neural network with the fractional order organically. Using preview follower theory simplified modeling for highly nonlinear intelligent vehicles, designed of fractional-order control based on neural network intelligent vehicles. Finally, designed with simulation and validation, and with normal fractional order and conventional PID control effect for a comparative analysis, simulation showed that the fractional-order controller based on neural networks in terms of dynamic performance, steady-state and error are better than the general fractional order and conventional PID control, proved the effectiveness of the design.
关键词：BP神经网络;分数阶PIaD β ;智能车;预瞄跟随理论
其他关键词：BP Neural Network; Fractional Order PIaD β ; Smart Car; Preliminary Glance with Theory
