In this paper, a new method is proposed to identifying the dynamic mathematical model parameters of an accelerometer using genetic algorithms (GA).
本文提出了一种用遗传算法(GA)辨识加速度传感器动态效学模型参数的新方法。
It is one of the effective methods to introduce intelligent optimization methods to the control system for guiding the design of control systems and identifying parameters of the process model.
为此，把智能优化方法引入到控制系统控制器参数的设计、控制对象的参数辨识中，是当前行之有效的控制系统设计方法之一。
Based on this, parameter estimations of two-dimensional harmonics are obtained by identifying parameters of the model.
在此基础上，通过辨识状态空间模型的参数获得了二维谐波的参数估计。
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