Centralized and distributed adaptive cubature information filters for multi-sensor systems with unknown probability of measurement loss
Published 2023 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Centralized and distributed adaptive cubature information filters for multi-sensor systems with unknown probability of measurement loss
Authors
Keywords
-
Journal
INFORMATION SCIENCES
Volume 630, Issue -, Pages 173-189
Publisher
Elsevier BV
Online
2023-02-15
DOI
10.1016/j.ins.2023.02.035
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Adaptive LII-RMPLS based data-driven process monitoring scheme for quality-relevant fault detection
- (2022) Xiaowei Feng et al. Journal of Control and Decision
- Adaptive cubature Kalman filter with the estimation of correlation between multiplicative noise and additive measurement noise
- (2021) Quanbo GE et al. Chinese Journal of Aeronautics
- Intelligent forecaster of concentrations (PM2.5, PM10, NO2, CO, O3, SO2) caused air pollution (IFCsAP)
- (2021) Samaher Al-Janabi et al. NEURAL COMPUTING & APPLICATIONS
- MultiPDF particle filtering in state estimation of nonlinear objects
- (2021) Jacek Michalski et al. NONLINEAR DYNAMICS
- Event-Triggered Distributed State Estimation for Cyber-Physical Systems Under DoS Attacks
- (2020) Yan Liu et al. IEEE Transactions on Cybernetics
- Event-triggered state estimation for networked control systems with lossy network communication
- (2019) Yuan-Cheng Sun et al. INFORMATION SCIENCES
- Consensus-based cubature information filtering for sensor networks with incomplete measurements
- (2019) Ji Liu et al. NEUROCOMPUTING
- A new method for prediction of air pollution based on intelligent computation
- (2019) Samaher Al-Janabi et al. SOFT COMPUTING
- A Novel Adaptive Kalman Filter With Unknown Probability of Measurement Loss
- (2019) Guangle Jia et al. IEEE SIGNAL PROCESSING LETTERS
- Protocol-Based Unscented Kalman Filtering in the Presence of Stochastic Uncertainties
- (2019) Shuai Liu et al. IEEE TRANSACTIONS ON AUTOMATIC CONTROL
- False data injection attacks against state estimation in the presence of sensor failures
- (2019) An-Yang Lu et al. INFORMATION SCIENCES
- Distributed nonlinear Kalman filter with communication protocol
- (2019) Hilton Tnunay et al. INFORMATION SCIENCES
- Event-Triggered Discrete-Time Cubature Kalman Filter for Nonlinear Dynamical Systems With Packet Dropout
- (2019) Marzieh Kooshkbaghi et al. IEEE TRANSACTIONS ON AUTOMATIC CONTROL
- Fault-Estimation-Based Output-Feedback Adaptive FTC for Uncertain Nonlinear Systems With Actuator Faults
- (2019) Lili Zhang et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Multi-Sensor Kalman Filtering With Intermittent Measurements
- (2018) Chao Yang et al. IEEE TRANSACTIONS ON AUTOMATIC CONTROL
- A Novel Adaptive Kalman Filter With Inaccurate Process and Measurement Noise Covariance Matrices
- (2018) Yulong Huang et al. IEEE TRANSACTIONS ON AUTOMATIC CONTROL
- Design of extended dissipativity state estimation for generalized neural networks with mixed time-varying delay signals
- (2018) R. Manivannan et al. INFORMATION SCIENCES
- Decentralized Adaptive Fuzzy Secure Control for Nonlinear Uncertain Interconnected Systems Against Intermittent DoS Attacks
- (2018) Liwei An et al. IEEE Transactions on Cybernetics
- Hybrid Adaptive Cubature Kalman Filter with Unknown Variance of Measurement Noise
- (2018) Yuepeng Shi et al. SENSORS
- Variational Bayesian Adaptive Cubature Information Filter Based on Wishart Distribution
- (2017) Peng Dong et al. IEEE TRANSACTIONS ON AUTOMATIC CONTROL
- Distributed Variational Bayesian Algorithms Over Sensor Networks
- (2016) Junhao Hua et al. IEEE TRANSACTIONS ON SIGNAL PROCESSING
- Multisensor Nonlinear Fusion Methods Based on Adaptive Ensemble Fifth-Degree Iterated Cubature Information Filter for Biomechatronics
- (2016) Quanbo Ge et al. IEEE Transactions on Systems Man Cybernetics-Systems
- Nonlinear weighted measurement fusion Unscented Kalman Filter with asymptotic optimality
- (2015) Gang Hao et al. INFORMATION SCIENCES
- Kullback–Leibler average, consensus on probability densities, and distributed state estimation with guaranteed stability
- (2014) Giorgio Battistelli et al. AUTOMATICA
- Kalman Filtering With Intermittent Observations: On the Boundedness of the Expected Error Covariance
- (2014) Eduardo Rath Rohr et al. IEEE TRANSACTIONS ON AUTOMATIC CONTROL
- A new continuous-discrete particle filter for continuous-discrete nonlinear systems
- (2013) Yuanqing Xia et al. INFORMATION SCIENCES
- Square Root Cubature Information Filter
- (2012) Kumar Pakki Bharani Chandra et al. IEEE SENSORS JOURNAL
- Information fusion estimators for systems with multiple sensors of different packet dropout rates
- (2010) Jing Ma et al. Information Fusion
- Nonlinear Estimation and Multiple Sensor Fusion Using Unscented Information Filtering
- (2009) Deok-Jin Lee IEEE SIGNAL PROCESSING LETTERS
- The variational approximation for Bayesian inference
- (2009) Dimitris G. Tzikas et al. IEEE SIGNAL PROCESSING MAGAZINE
- Cubature Kalman Filters
- (2009) I. Arasaratnam et al. IEEE TRANSACTIONS ON AUTOMATIC CONTROL
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now