MINIMUM SENSITIVITY DESIGN OF LINEAR MULTIVARIABLE FEEDBACK CONTROL SYSTEMS BY MATRIX SPECTRAL FACTORIZATION

被引：21

作者：

BONGIORNO, JJ

机构：

[1] Department of Electrical Engineering, Polytechnic Institute of Brooklyn, Brooklyn, N. Y.

来源：

IEEE TRANSACTIONS ON AUTOMATIC CONTROL | 1969年 / AC14卷 / 06期

关键词：

D O I：

10.1109/TAC.1969.1099302

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 scalar measure of system sensitivity to plant parameter variations is employed in the design of linear lumped stationary multivariable feedback control systems. The plant parameters are treated as random variables, and design formulas are derived which lead to systems with the smallest expected value for the chosen scalar sensitivity measure. The design formulas give physically realizable feedback and tandem compensation network transfer function matrices provided the overall system transfer function matrix is properly specified. The solution of the minimum sensitivity design problem is obtained by first solving the multi-variable semi-free-configuration Wiener problem. Copyright © 1970 by The Institute of Electrical and Electronics Engineers, Inc.

引用

页码：665 / +

页数：1

共 14 条

[1]

BELLMAN R, 1960, INTRODUCTION MATRIX

[2] ON OBSERVERS IN MULTI-VARIABLE CONTROL SYSTEMS [J].