摘要
基于最小二乘法在消除干扰方面的应用,应用矩阵变换及数值拟合的原理,充分考虑随机信号的影响,给出了一种正交变换的离散差分模型自适应辨识方法,它能自动判别模型的阶,还能体现模型参数随信息更新而实时更新的动态过程。提出了渐近消除记忆的时变离散系统参数自适应辨识方法。
Based on the application of least spure approximation method in eliminatingdisturbance, using the principles of matrix transmation and numerical fitting, considering the in-fluence of random signals, a kind of adaptive identification method for estimating parameters inone-dimensional discrete system is given, by which the rank of the models can be identifiedautomatically, and the dynamic process of the model parameters updating together withinformation can b e reflected. Meanwhile, the adaptive identification method of approximatingmemory-eliminating for estimating parameters in time-varying descrete system is put forward.
出处
《哈尔滨理工大学学报》
CAS
1999年第2期88-90,共3页
Journal of Harbin University of Science and Technology
关键词
自适应辨识
最小二乘法
正交变换
离散系统
adaptive identification
least square approximation
orthogonal matrix transformation