A CRITERION FOR JOINT OPTIMIZATION OF IDENTIFICATION AND ROBUST-CONTROL

被引：42

作者：

BAYARD, DS

YAM, Y

METTLER, E

机构：

[1] Jet Propulsion Laboratory, California Institute of Technology, Pasadena

来源：

IEEE TRANSACTIONS ON AUTOMATIC CONTROL | 1992年 / 37卷 / 07期

关键词：

D O I：

10.1109/9.148354

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 criterion for system identification is developed which is consistent with the intended use of the fitted model for modern robust control synthesis. Specifically, a joint optimization problem is posed which simultaneously determines the plant model estimate and control design, so as to optimize robust performance over the set of plants consistent with a specified experimental data set.

引用

页码：986 / 991

页数：6

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