Robust distributed Kalman filtering with event-triggered communication

DOI10.1016/j.jfranklin.2023.10.037zbMath1530.93511arXiv2209.04219OpenAlexW4388486920MaRDI QIDQ6136514

Davide Ghion, Mattia Zorzi

Publication date: 17 January 2024

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2209.04219

zbMATH Keywords

model uncertaintyevent-triggered communicationdistributed robust Kalman filteringsensor networks (SNs)

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Discrete event control/observation systems (93C65) Networked control (93B70)

Cites Work

• Data-driven communication for state estimation with sensor networks
• Kullback-Leibler average, consensus on probability densities, and distributed state estimation with guaranteed stability
• Distributed \(H_\infty\)-consensus filtering in sensor networks with multiple missing measurements: the finite-horizon case
• Distributed extended Kalman filter with nonlinear consensus estimate
• Event-based state estimation. A stochastic perspective
• Event-triggered distributed state estimation with randomly occurring uncertainties and nonlinearities over sensor networks: a delay-fractioning approach
• Distributed Kalman consensus filter with intermittent observations
• On the robustness of the Bayes and Wiener estimators under model uncertainty
• A distributed Kalman filter with event-triggered communication and guaranteed stability
• Fully distributed observer-based consensus protocol: adaptive dynamic event-triggered schemes
• Event-triggered recursive state estimation for dynamical networks under randomly switching topologies and multiple missing measurements
• Distributed state estimation in sensor networks with event-triggered communication
• Robust fixed-lag smoothing under model perturbations
• A Contraction Analysis of the Convergence of Risk-Sensitive Filters
• Stochastic Event-Triggered Sensor Schedule for Remote State Estimation
• Event-Based Recursive Distributed Filtering Over Wireless Sensor Networks
• Robust Least-Squares Estimation With a Relative Entropy Constraint
• Distributed Kalman Filtering Under Model Uncertainty
• Diffusion Strategies for Distributed Kalman Filtering and Smoothing
• Distributed Observer-Based Cooperative Control Approach for Uncertain Nonlinear MASs Under Event-Triggered Communication
• Robust Kalman Filtering Under Model Uncertainty: The Case of Degenerate Densities
• Switching-Like Event-Triggered Control for Networked Control Systems Under Malicious Denial of Service Attacks
• Event-triggered robust distributed state estimation for sensor networks with state-dependent noises
• Robust Kalman Filtering Under Model Perturbations
• Robust State Space Filtering Under Incremental Model Perturbations Subject to a Relative Entropy Tolerance
• Information Weighted Consensus Filters and Their Application in Distributed Camera Networks
• Convergence Analysis of a Family of Robust Kalman Filters Based on the Contraction Principle
• Robustness