Exponential H∞ filtering of networked linear switched systems with mode-dependent average dwell time: an event-triggered scheme
Guangdeng Zong,
Dandan Duan and
Dong Yang
International Journal of Systems Science, 2019, vol. 50, issue 7, 1450-1464
Abstract:
In this paper, the event-triggered exponential $H_{\infty } $H∞ filtering problem is addressed for a class of networked linear switched systems via mode-dependent average dwell time (MDADT) technique. An event-triggered communication mechanism is designed to enhance the resource utilisation in transmission and save the communication cost of systems as well. Then, the filtering error system is reconstructed as a switched time-delay system with bounded disturbance by virtue of the input delay system approach. By applying the mode-dependent Lyapunov functional approach, some interesting results with MDADT technique are derived to ensure the exponential stability and a prescribed $H_{\infty } $H∞ disturbance rejection level. Further, some sufficient conditions for switched systems with average dwell time (ADT) are also presented as byproduct. An event-triggered exponential $H_{\infty } $H∞ filter is presented by solving some convex optimisation problems. The efficiency of the presented results is verified through a numerical example and a PWM-driven boost converter systems.
Date: 2019
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/00207721.2019.1616126 (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:7:p:1450-1464
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/TSYS20
DOI: 10.1080/00207721.2019.1616126
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 ().