一类非线性系统结构和参数辨识方法的应用研究

APPLICATION OF IDENTIFICATION METHOD FOR THE STRUCTURE AND PARAMETERS OF A CLASS OF NONLINEAR SYSTEMS

在本文中,基于针对可以表示成带有外部输入的非线性自回归滑动平均和模型(简称NARMAX模型)的一类非线性系统结构和参数辨识方法,研制了非线性系统辨识的FORTRAN程序,并较为成功地应用到实际系统的辨识过程中,为结构未知的非线性实际系统的结构和参数辨识提供了一条可行的途径。

In this paper, based on the identification method for the structure and corresponding parameters of a class of nonlinear system which can be represented as nonlinear auto-regression moving-average model with exogenous inputs (NARMAX), a FORTRAN program software paokage is developed and applied successfully to the identification of an actual nonlinear system, and thus an alternative approach for the identification of nonlinear systems which are unknown in structure is provided.