带钢张力ARMA时序模型的时域特性分析

Time Domain Characteristics Analysis of Strip Tension ARMA Time Series Model

在文献［１］的基础上，运用随机过程理论，进一步讨论了带钢张力ＡＲＭＡ时序模型的三种主要时域特性：描述系统动态特性的Ｇｒｅｅｎ函数｛Ｇｊ｝，描述随机数字序列统计特性的自协方差函数｛Ｒｋ｝和偏相关函数｛φｋｋ｝，从不同的角度揭示了ＡＲＭＡ时序模型所表征的带钢张力系统的动态特性。

Based on the reference ,three important time domain characteristics of strip tension ARMA time series models are discussed by means of random process theory.These characteristics include:Green function{ G j }to show dynamic characteristics of system,auto correlation function { R k }and partial correlation { φ kk }to show statistic characteristics of random digital sequences.The dynamic characteristics of ARMA time series to indicate strip tension system are revealed from various angles.So it provides the basis for the identification and parameter estimation of strip tension ARMA time series models.