对阀控马达系统寻求PID控制参数进行校正，为了更加真实的反映实际情况，以阀控马达系统为例建立了离散仿真模型。

PID parameters are seek to correct valve-controlled motor system., to reflect actual conditions truer dispersed artificial model is set up with valve-controlled motor for the example.

youdao

依据小波的非线性逼近能力和神经网络的自学习特性，提出了一种基于小波神经网络模型的自校正控制算法。

Based on the learning characteristic of neural network and the function approximation ability of the wavelet, a new self tuning control algorithm is presented.

youdao

本文指出自校正控制中广泛采用的CARMA模型会导致控制系统对确定性扰动和非平稳随机扰动缺乏鲁棒性；

The CARMA model generally assumed in self-tuning control frequently leads to the controlled systems lacking robustness to deterministic and non-stationary stochastic disturbances.

youdao