论文部分内容阅读
本文讨论以谱估计为基础的动力学参数估计方法。它一般包括两步估计算法．即首先由线性系统的输入－输出信号估计其谱密度函数．再由第一步得到的频率响应数据估计系统的传递函数参数。文中从统一形式的性能指标出发，选用不同的加权项而导出不同的频率特性曲线拟合算法，如线性化算法、迭代法、非线性最优化方法以及基于若干基本环节的顺序迭代算法。文中还介绍了这种算法的几个应用实例。这种频域方法适用于一般线性系统的实验建模．具有通用性。
This article discusses the estimation of kinetic parameters based on spectral estimation. It generally includes a two-step estimation algorithm. That is, the spectral density function is first estimated from the input-output signal of the linear system. Then the first step of the frequency response data to estimate the system transfer function parameters. In this paper, we use different weighted items to derive different frequency characteristic curve fitting algorithms, such as linearization algorithm, iterative method, nonlinear optimization method and sequential iterative algorithm based on some basic links. The article also introduced several examples of this algorithm. This frequency domain method is suitable for the experimental modeling of general linear systems. Has versatility.