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基于Legendre多项式微分变换的随机连续系统无偏一致参数估计
引用本文:赵明旺. 基于Legendre多项式微分变换的随机连续系统无偏一致参数估计[J]. 控制与决策, 1997, 12(3): 244-246,251
作者姓名:赵明旺
作者单位:武汉冶金科技大学自动化系!430081
摘    要:基于Legendre多项式微分变换,导出随机连续线性系统的统计无关逼近模型,然后由最小二乘原理给出参数估计算法。理论分析和仿真结果表明该估计是无偏一致的。

关 键 词:随机连续系统  参数估计  正交多项式  最小二乘法

Unbiased-Consistent Parameter Estimationfor Stochastic Continuous Systems via the DifferentialTransformation of Legendre Polynomials
Zhao Mingivang. Unbiased-Consistent Parameter Estimationfor Stochastic Continuous Systems via the DifferentialTransformation of Legendre Polynomials[J]. Control and Decision, 1997, 12(3): 244-246,251
Authors:Zhao Mingivang
Affiliation:Wuhan Yejin Univ. of Science and Technology
Abstract:Based on the differential transformation of Legendre polynomials, the statistically uncorrelative model of stochastic continuous linear systems is obtained. and then the parameter estimation algorithm is made by the least -squares principle. Theoretical analysis and simulation results show that the parameter es-timation is unbiased and consistent.
Keywords:stochastic continuous systems   parameter estimation   orthogonal polynomials   least squares method
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