Robust fusion time-varying Kalman estimators for multisensor networked systems with mixed uncertainties
Published 2018 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Robust fusion time-varying Kalman estimators for multisensor networked systems with mixed uncertainties
Authors
Keywords
-
Journal
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
Volume -, Issue -, Pages -
Publisher
Wiley
Online
2018-05-30
DOI
10.1002/rnc.4226
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Robust centralized and weighted measurement fusion Kalman estimators for uncertain multisensor systems with linearly correlated white noises
- (2017) Wen-Qiang Liu et al. Information Fusion
- Multi-sensor distributed fusion estimation with applications in networked systems: A review paper
- (2017) Shuli Sun et al. Information Fusion
- Robust time-varying Kalman estimators for systems with packet dropouts and uncertain-variance multiplicative and linearly correlated additive white noises
- (2017) Yang Chunshan et al. INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING
- Robust centralized and weighted measurement fusion white noise deconvolution estimators for multisensor systems with mixed uncertainties
- (2017) Wen-Qiang Liu et al. INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING
- Robust centralized and weighted measurement fusion Kalman estimators for multisensor systems with multiplicative and uncertain-covariance linearly correlated white noises
- (2017) Wenqiang Liu et al. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
- Distributed fusion filter for networked stochastic uncertain systems with transmission delays and packet dropouts
- (2017) Jing Ma et al. SIGNAL PROCESSING
- Distributed Robust Fusion Estimation With Application to State Monitoring Systems
- (2017) Bo Chen et al. IEEE Transactions on Systems Man Cybernetics-Systems
- Optimal filtering for systems with finite-step autocorrelated process noises, random one-step sensor delay and missing measurements
- (2016) Dongyan Chen et al. Communications in Nonlinear Science and Numerical Simulation
- Minimum variance estimation for linear uncertain systems with one-step correlated noises and incomplete measurements
- (2016) Shaoying Wang et al. DIGITAL SIGNAL PROCESSING
- Robust weighted fusion Kalman estimators for multisensor systems with multiplicative noises and uncertain-covariances linearly correlated white noises
- (2016) Wen-Qiang Liu et al. INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
- Robust weighted fusion steady-state white noise deconvolution smoothers for multisensor systems with uncertain noise variances
- (2016) Wen-Qiang Liu et al. SIGNAL PROCESSING
- Networked fusion kalman filtering with multiple uncertainties
- (2015) Bo Chen et al. IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
- Optimal Estimation for Discrete-Time Linear Systems in the Presence of Multiplicative and Time-Correlated Additive Measurement Noises
- (2015) Wei Liu IEEE TRANSACTIONS ON SIGNAL PROCESSING
- Robust filtering for uncertain networked systems with randomly delayed and lost measurements
- (2015) Hossein Rezaei et al. IET Signal Processing
- Improved robust finite-horizon Kalman filtering for uncertain networked time-varying systems
- (2015) Hossein Rezaei et al. INFORMATION SCIENCES
- Recursive estimation for nonlinear stochastic systems with multi-step transmission delays, multiple packet dropouts and correlated noises
- (2015) Shaoying Wang et al. SIGNAL PROCESSING
- Robust weighted fusion Kalman predictors with uncertain noise variances
- (2014) Wen-Juan Qi et al. DIGITAL SIGNAL PROCESSING
- Distributed Sampled-Data ${H_\infty }$ Filtering for Sensor Networks With Nonuniform Sampling Periods
- (2014) Wen-An Zhang et al. IEEE Transactions on Industrial Informatics
- Robust weighted fusion time-varying Kalman smoothers for multisensor system with uncertain noise variances
- (2014) Wenjuan Qi et al. INFORMATION SCIENCES
- Robust weighted fusion Kalman filters for multisensor time-varying systems with uncertain noise variances
- (2014) Wenjuan Qi et al. SIGNAL PROCESSING
- Recursive estimation for descriptor systems with multiple packet dropouts and correlated noises
- (2013) Jianxin Feng et al. AEROSPACE SCIENCE AND TECHNOLOGY
- Optimal sequential and distributed fusion for state estimation in cross-correlated noise
- (2013) Liping Yan et al. AUTOMATICA
- State estimation of discrete-time systems with arbitrarily correlated noises
- (2013) Wei Liu INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING
- Centralized Fusion Estimators for Multisensor Systems With Random Sensor Delays, Multiple Packet Dropouts and Uncertain Observations
- (2012) Jing Ma et al. IEEE SENSORS JOURNAL
- The accuracy comparison of multisensor covariance intersection fuser and three weighting fusers
- (2012) Zili Deng et al. Information Fusion
- Optimal Estimation for Multiple Packet Dropouts Systems Based on Measurement Predictor
- (2011) Li-Jun Zhang et al. IEEE SENSORS JOURNAL
- Distributed weighted robust Kalman filter fusion for uncertain systems with autocorrelated and cross-correlated noises
- (2011) Jianxin Feng et al. Information Fusion
- Variance-constrained robust estimation for uncertain systems with multiple packet dropouts
- (2011) Baofeng Wang et al. OPTIMAL CONTROL APPLICATIONS & METHODS
- Optimal and self-tuning weighted measurement fusion Kalman filters and their asymptotic global optimality
- (2010) Yuan Gao et al. INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING
- Information fusion Wiener filter for the multisensor multichannel ARMA signals with time-delayed measurements
- (2009) X.-J. Sun et al. IET Signal Processing
- Multi-model information fusion Kalman filtering and white noise deconvolution
- (2009) Xiao-Jun Sun et al. Information Fusion
- Optimal linear estimation for systems with multiple packet dropouts
- (2008) Shuli Sun et al. AUTOMATICA
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now