A direct adaptive control approach is proposed for a class of uncertain discrete time nonlinear non-minimum phase dynamical systems.
针对一类不确定的离散时间非线性非最小相位动态系统，提出了一种基于神经网络和多模型的直接自适应控制方法。
Numerous simulation studies have recently revealed the potential benefits of a neural network-based approach to direct adaptive control in the design of flight control systems.
最近，大量的模拟研究揭示了一个基于神经网络的方法，直接自适应控制在飞行控制系统的设计带来的潜在利益。
A mutual model reference adaptive method for the rotor speed and stator resistance identification is proposed in this paper to implement a speed sensorless direct torque control of induction motors.
本文介绍了一种可互换模型参考自适应方法实现对电机转速和定子电阻的辨识，并将其应用于异步机的无速度传感器直接转矩控制中。
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