Performance analysis of stochastic event-triggered estimator with compressed measurements
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Publication:6491092
DOI10.1016/J.AUTOMATICA.2024.111520WikidataQ129372122 ScholiaQ129372122MaRDI QIDQ6491092
Bo Chen, L. Yu, Zhongyao Hu, Zheming Wang
Publication date: 24 April 2024
Published in: Automatica (Search for Journal in Brave)
Estimation and detection in stochastic control theory (93E10) Discrete event control/observation systems (93C65)
Cites Work
- Modified Kalman filter for networked monitoring systems employing a send-on-delta method
- Deep reinforcement learning for wireless sensor scheduling in cyber-physical systems
- Energy-based event-triggered state estimation for hidden Markov models
- Sensors' optimal dimensionality compression matrix in estimation fusion
- On stochastic and deterministic event-based state estimation
- Distributed Covariance Intersection Fusion Estimation for Cyber-Physical Systems With Communication Constraints
- Stochastic Event-Triggered Sensor Schedule for Remote State Estimation
- On Set-Valued Kalman Filtering and Its Application to Event-Based State Estimation
- Distributed Fusion Estimation With Communication Bandwidth Constraints
- Event-Based State Estimation With Variance-Based Triggering
- Linear Matrix Inequalities in System and Control Theory
- Distributed Estimation Using Reduced-Dimensionality Sensor Observations
- Distributed Finite-Horizon Fusion Kalman Filtering for Bandwidth and Energy Constrained Wireless Sensor Networks
- Distributed State Estimation With Dimension Reduction Preprocessing
- Event-Based State Estimation: Optimal Algorithm With Generalized Closed Skew Normal Distribution
- Event-Based Estimation With Information-Based Triggering and Adaptive Update
- On Kalman Filtering for Detectable Systems With Intermittent Observations
- Worst-Case Stealthy Attacks on Stochastic Event-Based State Estimation
- Kalman Filtering With Intermittent Observations
- Sensor Scheduling in Variance Based Event Triggered Estimation With Packet Drops
- Event-Based Sensor Data Scheduling: Trade-Off Between Communication Rate and Estimation Quality
- Optimal dimensionality reduction of sensor data in multisensor estimation fusion
- A novel representation of rank constraints for real matrices
- Event-triggered fusion estimation under bounded noises
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