潮汐河流水质的模型辨识与参数估计
The Model Identification and Parameter Estimation of Tidal River Water Quality
-
摘要: 本文设计统计系统辨识,其目的是利用水质参数的非平稳时间序列以及水力学参数的时 间序列建立潮汐河流的水质动态模型.文章中推导了变系数的差分模型,并将变系数分解成时 变和时不变两部分,以导出时不变的待辨识参数.然后通过对噪声性质的讨论,指出可以采用 时间序列的分析方法,从而建立潮汐河流水质的动态模型,并应用Allen的PSS准则确定非 线性的待估参数值. 本文还提出了通过预报来修正非线性参数的一种方法.最后,通过实例计算,证实了本文 方法是可行的.Abstract: In this paper, a difference model with time-varying coefficients is derived. The time- varying coefficients of the model are separated into the time-varying and timeinvariant parts, so as to derive the time-invariant coefficients for estimation. Then, noise behavior is analysed. It is concluded that time series analysis method can be used for modelling the water quality of tidal rivers. Allen's PSS criterion is then used for determining the estimated nonlinear parameters.
-
计量
- 文章访问数: 1401
- HTML全文浏览量: 69
- PDF下载量: 1077
- 被引次数: 0
下载:
