Asynchronous filtering for nonhomogeneous Markov jumping systems with deception attacks

Yuyan Wu, Jun Cheng, Xia Zhou, Jinde Cao and Mengzhuo Luo

Applied Mathematics and Computation, 2021, vol. 394, issue C

Abstract: This paper deals with the problem of asynchronous filtering for nonhomogeneous Markov jumping systems with deception attacks. To describe the nonhomogeneous Markov process, the polytopic-structure-based transition probabilities (TPs) are introduced. Note that TPs are characterized by time-varying property, which cover the time independent TPs as a special case. Added by a hidden Markov model, the asynchronous phenomenon among the original plant, the quantizer and the filter is revealed. By establishing the Lyapunov functional, a sufficient condition with mean square exponentially stable is acquired. Benefit from the matrix inequality decoupling method, the asynchronous filters with less conservative are achieved. Finally, two examples are presented to show the validity of the obtained strategy.

Keywords: Hidden Markoving model; Deception attacks; Nonhomogeneous Markov process (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0096300320307438
Full text for ScienceDirect subscribers only

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:eee:apmaco:v:394:y:2021:i:c:s0096300320307438

DOI: 10.1016/j.amc.2020.125790

Access Statistics for this article

Applied Mathematics and Computation is currently edited by Theodore Simos

More articles in Applied Mathematics and Computation from Elsevier
Bibliographic data for series maintained by Catherine Liu ().