Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/87745
Title: Networked filtering with Markov transmission delays and packet disordering
Authors: Liu, Andong
Zhang, Wen-an
Chen, Bo
Yu, Li
Keywords: Markov Processes
Convex Optimisation Problem
Issue Date: 2018
Source: Liu, A., Zhang, W., Chen, B., & Yu, L. (2018). Networked filtering with Markov transmission delays and packet disordering. IET Control Theory & Applications, 12(5), 687-693.
Series/Report no.: IET Control Theory & Applications
Abstract: This is concerned with the filtering problem for a class of networked systems with Markov transmission delays and packet disordering. The transmission delays are considered to be a Markov chain with finite states, and a packet reordering mechanism is proposed to deal with the packet disordering. According to the original transition probability matrix of Markov delays, a new method is developed to calculate the reordered transition probability matrix. A sufficient condition is derived such that the filtering error system is exponentially stable in the mean-square sense. Moreover, an optimal filter is designed by solving a convex optimisation problem. An illustrative example is provided to show the effectiveness of the proposed filtering method.
URI: https://hdl.handle.net/10356/87745
http://hdl.handle.net/10220/45471
ISSN: 1751-8644
DOI: http://dx.doi.org/10.1049/iet-cta.2017.0755
Rights: © 2018 Institution of Engineering and Technology. This paper was published in IET Control Theory and Applications and is made available as an electronic reprint (preprint) with permission of Institution of Engineering and Technology. The published version is available at: [http://dx.doi.org/10.1049/iet-cta.2017.0755]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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