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。
For a class of complex system with interconnected nonlinear subsystems, here is introduced an integrated identification method combining steady-state identification with dynamic identification.
针对一类具有相互关联非线性子系统的复杂系统，提出了一种稳态辨识与动态辨识相结合的集成辨识方法。
An online adaptive fuzzy neural network identification and robust control approach were proposed for the adaptive control problem of SISO nonlinear system.
针对单输入单输出非线性系统的自适应控制问题，提出了一种在线自适应模糊神经网络辨识与鲁棒控制的方法。
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