By Topic

Multivariable control performance assessment based on generalized minimum variance benchmark

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Yu Zhao ; State Key Lab. of Ind. Control Technol., Zhejiang Univ., Hangzhou, China ; Hongye Su ; Jian Chu ; Chao Zhao
more authors

This paper is concerned with the control performance assessment based on the multivariable generalized minimum variance benchmark. Firstly an explicit expression for the feedback controller-invariant (here we call it generalized minimum variance) term of the multivariable control systems is obtained, and consequently the derived feedback controller-invariant term is used as a standard benchmark for the assessment of the control performance of MIMO processes. The proposed approach is based on the multivariable minimum variance benchmark and univariate generalized minimum variance benchmark. It is the extension of the above two benchmarks. In comparison with the minimum variance benchmark, the new approach is more reasonable and practical for the control performance assessment of multivariable systems. However, it does need more information of the process. The utility of the developed approach is illustrated by simulation example.

Published in:

Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on

Date of Conference:

15-18 Dec. 2009