This work is aiming to study and control of drive train of an electric vehicle based on doubly fed induction machine (DFIM), the power structure of this machine and the control strategy applied allow operating over a wide range of speed variation

为了设计出智能的列车悬挂系统提出了基于神经网络的自适应模糊控制 模糊控制主要是针对系统的非线性神经网络控制是产生模糊控制的控制规则。最后通话matlab仿真，得出可行性。-In order to design intelligent train suspension system is proposed based on adaptive neural network fuzzy control fuzzy control is mainly for non-linear neural netw

As the UAV is widely applied in military action, in order to make the UAV operators operate the UAV equipment easily, we should train the UAV operator with high efficiency, high fidelity training system, which can be used in the training work in