On the sensitivity of the control structure selection problems in large scale multivariable systems

被引：0

作者：

Nobakhti, Amin ^{[1
]}

Brown, Martin ^{[1
]}

Wang, Hong ^{[1
]}

机构：

[1] Univ Manchester, Sch Elect Engn & Elect, Control Syst Ctr, Manchester M60 1QD, Lancs, England

来源：

PROCEEDINGS OF THE 46TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-14 | 2007年

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Current approaches to solve the control structure selection problem either rely on the control engineer's experience and intuition, or solutions of difficult and nonconvex combinatorial optimisation problems. In this paper a set of new computationally inexpensive graphical analysis tools based on basis pursuit regularization methods are presented which provide significant insight into the control structure selection problem. With the aid of an example it is shown how these tools are used directly to assess the local structural sensitivity of the problem and identify key and important connections within the controller.

引用

页码：1299 / 1304

页数：6

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