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多模型系统基于黄金分割法的参数估计
引用本文:赵明旺.多模型系统基于黄金分割法的参数估计[J].控制与决策,1995,10(4):352-356.
作者姓名:赵明旺
作者单位:武汉冶金科技大学自动化系
摘    要:利用变点统计学和黄金分割法讨论具有跳变参数的多模型离散线性动态系统的参数估计。提出基于黄金分割法搜索最佳变点估计(参数变化时间)和同时得到参数估计的最小二乘算法。理论分析和计算机仿真结果表明,该算法具有较好的收敛性并能得到良好的变点及参数的估计值。

关 键 词:多模型系统  黄金分割法  参数估计  离散系统

Parameter Estimation for Multiple-model Systems Based on the Golden Section Method
Zhao Mingwang.Parameter Estimation for Multiple-model Systems Based on the Golden Section Method[J].Control and Decision,1995,10(4):352-356.
Authors:Zhao Mingwang
Affiliation:Wuhan University of Metallurgical Science and Technology
Abstract:The change-point statistics and the golden section method is used to discuss the parameter estimation of multiple-model discrete linear systems with jumping parameters in this paper, and then the least squares algorithm which can obtain the optimal estimation of the change-points and the parameters based on the golden section method is proposed. The theoretical analysis and the simulation results show that the algorithms in this paper have good convergence and the good estimation of the change-points and parameters.
Keywords:change-point statistics  parameter estimation  the golden section method  the least squares method
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