A regularized least-squares approach to event-based distributed robust filtering over sensor networks
From MaRDI portal
Publication:6546869
DOI10.1016/j.automatica.2024.111604zbMATH Open1537.93741MaRDI QIDQ6546869
Qinyuan Liu, Guo Ping Liu, Wei Chen, Lei Zou, Zidong Wang
Publication date: 30 May 2024
Published in: Automatica (Search for Journal in Brave)
parameter uncertaintyleast-squares approachsensor networksdistributed robust filteringevent-based communication
Filtering in stochastic control theory (93E11) Discrete-time control/observation systems (93C55) Least squares and related methods for stochastic control systems (93E24) Discrete event control/observation systems (93C65) Networked control (93B70)
Cites Work
- Unnamed Item
- Stability of consensus extended Kalman filter for distributed state estimation
- Kullback-Leibler average, consensus on probability densities, and distributed state estimation with guaranteed stability
- Distributed robust filtering with \(H_\infty\) consensus of estimates
- A uniqueness result concerning a robust regularized least-squares solution
- Distributed Kalman consensus filter with event-triggered communication: formulation and stability analysis
- On robust Kalman filter for two-dimensional uncertain linear discrete time-varying systems: a least squares method
- A distributed Kalman filter with event-triggered communication and guaranteed stability
- Robust Kalman filter for systems subject to parametric uncertainties
- Recursive distributed filtering over sensor networks on Gilbert-Elliott channels: a dynamic event-triggered approach
- Distributed state estimation for uncertain linear systems: a regularized least-squares approach
- Event-triggered distributed state estimation over wireless sensor networks
- Event-triggered cooperative unscented Kalman filtering and its application in multi-UAV systems
- A Regularized Robust Design Criterion for Uncertain Data
- Conditional central algorithms for worst case set-membership identification and filtering
- A framework for state-space estimation with uncertain models
- State Estimation for Stochastic Complex Networks With Switching Topology
- Cooperative Target Tracking Using Decentralized Particle Filtering and RSS Sensors
- Rician MIMO Channel- and Jamming-Aware Decision Fusion
- On Multiple Covariance Equality Testing with Application to SAR Change Detection
- On Kalman-Consensus Filtering With Random Link Failures Over Sensor Networks
- Diffusion Strategies for Distributed Kalman Filtering and Smoothing
- Moving-Horizon Estimation for Linear Dynamic Networks With Binary Encoding Schemes
- Performance Evaluation of Distributed Linear Regression Kalman Filtering Fusion
- Sampled-based consensus of multi-agent systems with bounded distributed time-delays and dynamic quantisation effects
- Robust set-membership filtering for two-dimensional systems with sensor saturation under the Round-Robin protocol
- Probabilistic-constrained distributed fusion filtering for a class of time-varying systems over sensor networks: a torus-event-triggering mechanism
- Distributed Kalman Filters With State Equality Constraints: Time-Based and Event-Triggered Communications
- Robust Kalman Filter for Descriptor Systems
- Event Based State Estimation With Time Synchronous Updates
- Event-Based Sensor Data Scheduling: Trade-Off Between Communication Rate and Estimation Quality
This page was built for publication: A regularized least-squares approach to event-based distributed robust filtering over sensor networks