Minimax identification of a generalized uncertain-stochastic linear model

被引:0
|
作者
Pankov, AR [1 ]
Semenikhin, KV [1 ]
机构
[1] Moscow State Aviat Inst Tech Univ, Moscow, Russia
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A problem of the parametric identification of a vectorial linear regression model is considered under conditions of incomplete prior information on the characteristics of the model parameters and the observation errors. An explicit expression for a minimax estimation operator is derived and pecial cases of the model are treated. Results of numerical experiments are given.
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页码:1632 / 1643
页数:12
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