State estimation for asynchronous sensor systems with Markov jumps and multiplicative noises
type: Item
instance of: scholarly article
title: State estimation for asynchronous sensor systems with Markov jumps and multiplicative noises
zbMATH Open document ID: 1447.93343
author: Hang Geng
author: Yuhua Cheng
author: Zidong Wang
author: Yan Liang
author: Fuad E. Alsaadi
published in: Information Sciences
publication date: 2020-07-02T00:00:00Z
Mathematics Subject Classification ID: 93E10
Mathematics Subject Classification ID: 93C55
zbMATH DE Number: 7216921
zbMATH Keywords: asynchronous sensors
zbMATH Keywords: linear minimum mean-squared error
zbMATH Keywords: Markov jump parameters
zbMATH Keywords: multiplicative noise
MaRDI profile type: Publication
full work available at URL: j.ins.2017.07.001
OpenAlex ID: W2732304043
cites work: \(l_{\infty}\)-gain performance analysis for two-dimensional Roesser systems with persistent bounded disturbance and saturation nonlinearity
cites work: A new recursive filter for systems with multiplicative noise
cites work: Linear minimum mean square error estimation for discrete-time Markovian jump linear systems
cites work: Robust linear filtering for discrete-time hybrid Markov linear systems
cites work: Stationary filter for linear minimum mean square error estimator of discrete-time Markovian jump systems
cites work: Linear minimum mean square filter for discrete-time linear systems with Markov jumps and multiplicative noises
cites work: Distributed recursive filtering for stochastic systems under uniform quantizations and deception attacks through sensor networks
cites work: Distributed event-triggered \(H_\infty\) filtering over sensor networks with communication delays
cites work: Exponential Stability for Discrete-Time Infinite Markov Jump Systems
cites work: State estimation for discrete-time Markov jump linear systems with time-correlated measurement noise
cites work: Robust filtering for jumping systems with mode-dependent delays
cites work: Moving horizon estimation for Markov jump systems
cites work: Almost Sure Stability of Switching Markov Jump Linear Systems
cites work: Stability of optimum linear estimators of stochastic signals in white multiplicative noise
cites work: Information Filtering and Array Algorithms for Discrete-Time Markovian Jump Linear Systems
cites work: Array Algorithm for Filtering of Discrete-Time Markovian Jump Linear Systems
cites work: Random attractor for the three-dimensional planetary geostrophic equations of large-scale ocean circulation with small multiplicative noise
cites work: Robust Kalman filtering for discrete time-varying uncertain systems with multiplicative noises
DOI: 10.1016/J.INS.2017.07.001
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description: scientific article; zbMATH DE number 7216921