Dynamic reconstruction of controls under uncertainty conditions

被引：0

作者：

Korotkii, AI ^{[1
]}

机构：

[1] Russian Acad Sci, Inst Math & Mech, Ural Div, Ekaterinburg 620219, Russia

来源：

JOURNAL OF COMPUTER AND SYSTEMS SCIENCES INTERNATIONAL | 2000年 / 39卷 / 01期

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The problem of the dynamic reconstruction of a priori unknown controls or parameters of a dynamical system is considered. This reconstruction is based on the results of observation of the evolution of certain informative sets containing a priori unknown current state values of the system. Noise-supressing dynamic algorithms for solving the problem are constructed. These algorithms are physically realizable and can work in the on-line mode. The construction is based on the methods of the theory of feedback control.

引用

页码：17 / 20

页数：4

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