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分析讨论了在Ｍａｒｋｏｖ参数估计的基础上，通过ＦＩＲ—ＭＰＳＳＭ—ＳＳ变换，实现多变量过程的参数模型辨识的问题，并给出研究实例。该方法回避了多变量过程结构辨识的困难，是工业过程建模的良好途径。
Based on the Markov parameter estimation, the problem of parameter model identification of multivariable process is analyzed and discussed through FIR-MPSSM-SS transformation. The research examples are given. This method avoids the difficulty of multivariate process structure identification and is a good way to model industrial process.