\(H_{\infty}\) filtering for networked Markovian jump systems with multiple stochastic communication delays
type: Item
instance of: scholarly article
title: \(H_{\infty}\) filtering for networked Markovian jump systems with multiple stochastic communication delays
zbMATH Open document ID: 1394.93321
DOI: 10.1155/2015/580578
author: Hui Dong
author: J. T. Chen
published in: Mathematical Problems in Engineering
publication date: 2018-08-27T00:00:00Z
review text: Summary: This paper is concerned with the \(H_{\infty}\) filtering for a class of networked Markovian jump systems with multiple communication delays. Due to the existence of communication constraints, the measurement signal cannot arrive at the filter completely on time, and the stochastic communication delays are considered in the filter design. Firstly, a set of stochastic variables is introduced to model the occurrence probabilities of the delays. Then based on the stochastic system approach, a sufficient condition is obtained such that the filtering error system is stable in the mean-square sense and with a prescribed \(H_{\infty}\) disturbance attenuation level. The optimal filter gain parameters can be determined by solving a convex optimization problem. Finally, a simulation example is given to show the effectiveness of the proposed filter design method.
Mathematics Subject Classification ID: 93E11
Mathematics Subject Classification ID: 93B36
zbMATH DE Number: 6926695
Wikidata QID: Q59119446
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2015/580578
OpenAlex ID: W1933000447
cites work: Kalman Filtering With Intermittent Observations
cites work: Variance-constrained robust estimation for discrete-time systems with communication constraints
cites work: Sensor data scheduling for optimal state estimation with communication energy constraint
cites work: Deterministic Sensor Data Scheduling Under Limited Communication Resource
cites work: Multi-sensor optimal information fusion Kalman filter
cites work: ${\cal H}_{\infty}$ Estimation for Uncertain Systems With Limited Communication Capacity
cites work: Networked \(H_\infty\) filtering for linear discrete-time systems
cites work: Robust non-fragile filtering for networked systems with distributed variable delays
cites work: Passivity analysis for stochastic Markovian switching genetic regulatory networks with time-varying delays
cites work: Mode-dependent \(H_\infty\) filtering for discrete-time Markovian jump linear systems with partly unknown transition probabilities
cites work: \(H_\infty \) estimation for discrete-time piecewise homogeneous Markov jump linear systems
cites work: Reliable mixed passive and \(\mathcal{H}_\infty\) filtering for semi-Markov jump systems with randomly occurring uncertainties and sensor failures
cites work: Finite-time \(H_\infty\) estimation for discrete-time Markov jump systems with time-varying transition probabilities subject to average Dwell time switching
cites work: Quantized filtering for Markovian jump LPV systems with intermittent measurements
cites work: \(H_\infty \) filtering of network-based systems with random delay
cites work: Linear Matrix Inequalities in System and Control Theory
cites work: \(H_\infty\) filtering of networked discrete-time systems with random packet losses
description: scientific article; zbMATH DE number 6926695