Event-Triggered Asynchronous Filter of Nonlinear Switched Positive Systems with Output Quantization
Shitao Zhang,
Peng Lin and
Junfeng Zhang
Additional contact information
Shitao Zhang: School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China
Peng Lin: School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China
Junfeng Zhang: School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China
Mathematics, 2022, vol. 10, issue 4, 1-21
Abstract:
This paper deals with a static/dynamic event-triggered asynchronous filter of nonlinear switched positive systems with output quantization. The nonlinear function is located in a sector. Both static and dynamic event-triggering conditions are established based on the 1-norm form. By virtue of the event-triggering mechanism, the error system is transformed into an interval uncertain system. An event-triggered asynchronous filter is designed by employing a matrix decomposition approach. The positivity and L 1 -gain stability of the error system are guaranteed by means of linear copositive Lyapunov functions and a linear programming approach. Finally, two examples are given to verify the effectiveness of the design.
Keywords: switched nonlinear positive systems; event-triggered filter; asynchronous switching; linear programming (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/2227-7390/10/4/599/pdf (application/pdf)
https://www.mdpi.com/2227-7390/10/4/599/ (text/html)
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:gam:jmathe:v:10:y:2022:i:4:p:599-:d:750259
Access Statistics for this article
Mathematics is currently edited by Ms. Emma He
More articles in Mathematics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().