W-模型辨识及其统计特性  

W-model Recognittion and It Statistics Characteristic

作　　者：陈茂海[1] 

机构地区：[1]琼州大学数学系,海南572200

出　　处：《数学的实践与认识》2003年第5期75-81,共7页Mathematics in Practice and Theory

摘　　要：本文选用三位式伪随机序列作为输入 ,充分利用其激励信号的各种特性 ,辨识非线性系统 Wiener模型的线性子系统脉冲响应函数 ,对非线性增益环节 ,则由其奇数和偶数项多项式系数分别进行估计 .同时研究线性与非线性子系统辨识的统计特性 ,给出各部分参数估计的置信区间 .In this papar we were selected the three-bit pseudorandom sequence and it is the input.We were fuU used the various characteristics of its driving signal, to recognize the impulse response function of a linear subsystem of a nonlinear system Wiener model.For a nonlinear gain link we differently engage in estimte with its polynomial of the both the odd number term and the even number term.Ae the same time we were studed the statistics characteristic of a subystem recognition of a line and nonline,and we were gived the confidence interval of the various estimation of parmeters.

关 键 词：WIENER模型 非线性系统参数模型 非线性增益 脉冲响应函数 伪随机序列 模型辨识 多项式系数 置信区间 信号 参数估计 Markov参数 

分 类 号：O235[理学—运筹学与控制论]