Arnoldi model reduction for switched linear systems
by Kouki Mohamed; Abbes Mehdi; Mami Abdelkader
International Journal of Operational Research (IJOR), Vol. 27, No. 1/2, 2016

Abstract: In this paper, we present a new method of reduction for large-scale switched systems, which is an important class of hybrid and non-linear systems. In this work, we focused on the linear switched systems. This new method is based on the generation of Krylov subspace by the use of the Arnoldi algorithm, which is numerically efficient and applicable for any order, from which we solve the problems H_∞ and H₂ model reduction. We take three examples to evaluate this method.

Online publication date: Mon, 22-Aug-2016

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Operational Research (IJOR):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com