Abstract
This note comments on the results of the paper, ‘Model reduction for singular systems via covariance approximation’, (Optim. Contr. Appl. Meth. 2004; 25:263–278), which studied model reduction for singular system via covariance approximation. Although the proposed new error criterion reflects the capacity of the impulsive behaviour for singular systems, there exists shortcomings due to the fixed matrix Br in the process of optimization, which remarkably matters. In order to avoid this drawback, the model reduction problem is reformulated and a genetic algorithm is used to deal with the optimization problem. A numerical example is provided to show the effectiveness and improvement of the proposed algorithm. Copyright © 2006 John Wiley & Sons, Ltd.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
