A nonlinear system parameters identification problem is investigated in this paper by introducing a relaxation method used for solving the linear equations of the system.
研究了非线性参数系统模型的识别问题，通过引入求解线性方程组的松驰法思想，构造了一类新的迭代识别算法。
The on-line identification algorithm can identify the nonlinear restoring force and the changes in structural parameters in real time.
在线识别算法可以实时地识别出结构非线性回复力和结构参数的变化。
On the aspect of model identification, we specially study the selection techniques for nonlinear model structure with linear parameters and the corresponding algorithms.
在模型辨识方面，我们专门研究了参数线性的非线性模型结构的选择技术及其算法。
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