The neural network-based adaptive control and fuzzy logic are integrated based on feedback learning algorithm.
在反馈学习算法的基础上，将模糊逻辑和神经网络自适应控制的结构结合在一起。
The conventional PID algorithm requires its parameters high-integrated and often fails to achieve satisfied control results.
常规pid算法对其参数的整定要求较高，往往不易达到满意的控制效果。
In this paper, an integrated engine continuously variable transmission (CVT) control algorithm is suggested by considering the powertrain loss and the inertia torque due to the CVT ratio change.
本文考虑由于CV T速比变化引起动力系功率损失和惯性转矩推荐了一种集成发动机一无级变速器(CVT)控制算法。
应用推荐