该文提出一种用于复杂的非线性未知系统辨识的混合神经网络模型—自适应模糊神经网络(AFNN)。
This paper presents a compound neural network model, i. e., adaptive fuzzy neural network (AFNN), which can be used for identifying the complicated nonlinear system.
此无模型控制方法非常适用于实际的模型参数难以辨识，且是时变的非线性系统。
The model-free control is especially useful for real nonlinear systems whose model parameter are very difficult to be identified and time varying.
本文依据横摇力矩激振装置进行的船模激振横摇试验结果，提出了一套较完整的横摇非线性模型的辨识技术。
A comparatively complete technique to identify the rolling nonlinear model is developed according to the results of excited rolling tests of ship model using rolling moment exciter.
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