Optimal synthesis and predictive stabilization of a linear system

被引：0

作者：

Ashchepkov, LT ^{[1
]}

Shaparenko, NN ^{[1
]}

机构：

[1] Russian Acad Sci, Far E Div, Inst Appl Math, Vladivostok 690022, Russia

来源：

JOURNAL OF COMPUTER AND SYSTEMS SCIENCES INTERNATIONAL | 1999年 / 38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 minimizing the mean square deviations of the trajectory of a linear nonstationary system from the equilibrium state on a given interval of time is studied by using scalar-valued control bounded with respect to the amplitude. The optimal synthesized control is constructed in an analytical form. Two procedures for stabilization are proposed; at each instant of time, these procedures take into account the future behavior of the system. The stability of the equilibrium state of the closed-loop system and the robustness of the synthesized control are studied.

引用

页码：19 / 25

页数：7

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