用BP人工神经网络建立了重载丝杆螺母副的摩擦学特性与载荷之间关系的磨损自补偿数学模型。
The BP neural network used the wear-self-compensation mathematics model of the relationship of tribology characteristic with load of the heavy load screw-nut pairs was established.
作为应用举例，DLQR用于重载汽车前轮舵角补偿控制(FSAC)模型中确定控制输入。
As an instance, DLQR was applied in determining the control input in the front steering Angle compensation control (FSAC) model for heavy duty vehicles.
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