H ∞ Filtering of Mean Field Stochastic Differential Systems
Siqi Lv and
Ting Hou ()
Additional contact information
Siqi Lv: School of Mathematics and Statistics, Shandong Normal University, Jinan 250358, China
Ting Hou: School of Mathematics and Statistics, Shandong Normal University, Jinan 250358, China
Mathematics, 2024, vol. 12, issue 21, 1-10
Abstract:
This paper addresses the H ∞ filtering problem for mean field stochastic differential systems that involve both state-dependent and disturbance-dependent noise. We assume that the state as well as the measurement output is distracted by an uncertain exogenous disturbance. Firstly, a sufficient condition for the stochastic-bounded real lemma is given. Next, H ∞ filtering, which is built upon a stochastic-bounded real lemma, is put forward by two linear matrix inequalities. Furthermore, the validation of the theoretical analysis is demonstrated with two examples.
Keywords: H ? filtering; mean field systems; linear matrix inequalities (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2024
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/2227-7390/12/21/3329/pdf (application/pdf)
https://www.mdpi.com/2227-7390/12/21/3329/ (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:12:y:2024:i:21:p:3329-:d:1505139
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 ().