EconPapers    
Economics at your fingertips  
 

An input–output approach to reduced filter design for polytopic time-varying delay systems

Hicham El Aiss, Taha Zoulagh, Abdelaziz Hmamed and Ahmed El Hajjaji

International Journal of Systems Science, 2019, vol. 50, issue 1, 35-49

Abstract: This paper discusses the problem of delay-dependent robust $ H_{\infty } $ H∞ filtering design for polytopic systems with a time-varying delay. A new model transformation is firstly applied by employing a three-term approximation for the delayed state, which leads to a smaller approximation error than the two-term approximation. Then, based on the scaled small-gain Theorem combined with an appropriate Lyapunov–Krasovskii Functional, the $ H_{\infty } $ H∞ performance analysis of the filtering error system is examined and then the $ H_{\infty } $ H∞ full- and reduced-order filters are designed in terms of linear matrix inequalities via a simple linearisation technique. Before the end, a sufficient condition is presented to solve the problem of $ H_{\infty } $ H∞ filtering design for a time-delay system without polytopic uncertainties. Finally, illustrative examples are presented to demonstrate the validity of the proposed methods.

Date: 2019
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://hdl.handle.net/10.1080/00207721.2018.1543474 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:tsysxx:v:50:y:2019:i:1:p:35-49

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/TSYS20

DOI: 10.1080/00207721.2018.1543474

Access Statistics for this article

International Journal of Systems Science is currently edited by Visakan Kadirkamanathan

More articles in International Journal of Systems Science from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-20
Handle: RePEc:taf:tsysxx:v:50:y:2019:i:1:p:35-49