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.
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页码：19 / 25
页数：7
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