Event-based distributed filtering against deception attacks for sensor networks with quantization effect
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Title
Event-based distributed filtering against deception attacks for sensor networks with quantization effect
Authors
Keywords
Sensor networks, Distributed filtering, Deception attack, Event-triggered mechanism, Quantization
Journal
ISA TRANSACTIONS
Volume -, Issue -, Pages -
Publisher
Elsevier BV
Online
2021-08-11
DOI
10.1016/j.isatra.2021.08.009
References
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Note: Only part of the references are listed.- Output regulation for decentralized networked control systems under jamming attacks and actuator saturation
- (2020) Qing Geng et al. ISA TRANSACTIONS
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- (2019) Songlin Hu et al. IEEE Transactions on Cybernetics
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- (2019) Xiao-Meng Li et al. IEEE Transactions on Cybernetics
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- (2019) Alireza Abbaspour et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- A distributed Kalman filter with event-triggered communication and guaranteed stability
- (2018) Giorgio Battistelli et al. AUTOMATICA
- State estimation under false data injection attacks: Security analysis and system protection
- (2018) Liang Hu et al. AUTOMATICA
- False Data Injection Attacks on Networked Control Systems: A Stackelberg-Game Analysis
- (2018) Yuzhe Li et al. IEEE TRANSACTIONS ON AUTOMATIC CONTROL
- Event-triggered distributed filtering over sensor networks with deception attacks and partial measurements
- (2018) Xianye Bu et al. INTERNATIONAL JOURNAL OF GENERAL SYSTEMS
- A survey on security control and attack detection for industrial cyber-physical systems
- (2018) Derui Ding et al. NEUROCOMPUTING
- Remote Nonlinear State Estimation With Stochastic Event-Triggered Sensor Schedule
- (2018) Li Li et al. IEEE Transactions on Cybernetics
- Event-Based Variance-Constrained ${\mathcal {H}}_{\infty }$ Filtering for Stochastic Parameter Systems Over Sensor Networks With Successive Missing Measurements
- (2018) Licheng Wang et al. IEEE Transactions on Cybernetics
- Evaluation of Reinforcement Learning Based False Data Injection Attack to Automatic Voltage Control
- (2018) Ying Chen et al. IEEE Transactions on Smart Grid
- Recursive Distributed Filtering for a Class of State-Saturated Systems With Fading Measurements and Quantization Effects
- (2018) Chuanbo Wen et al. IEEE Transactions on Systems Man Cybernetics-Systems
- Resilient control for wireless networked control systems under DoS attack via a hierarchical game
- (2018) Huanhuan Yuan et al. INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
- Resilient Control of Wireless Networked Control System Under Denial-of-Service Attacks: A Cross-Layer Design Approach
- (2018) Yuan Yuan et al. IEEE Transactions on Cybernetics
- Towards quantifying the impact of randomly occurred attacks on a class of networked control systems
- (2017) Yuan Yuan et al. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
- Event-Driven Control for Networked Control Systems With Quantization and Markov Packet Losses
- (2017) Hongjiu Yang et al. IEEE Transactions on Cybernetics
- Distributed Dimensionality Reduction Fusion Estimation for Cyber-Physical Systems Under DoS Attacks
- (2017) Bo Chen et al. IEEE Transactions on Systems Man Cybernetics-Systems
- Mean-Square $H_\infty $ Consensus Control for a Class of Nonlinear Time-Varying Stochastic Multiagent Systems: The Finite-Horizon Case
- (2017) Lifeng Ma et al. IEEE Transactions on Systems Man Cybernetics-Systems
- Variance-constrained H∞ control for a class of nonlinear stochastic discrete time-varying systems: The event-triggered design
- (2016) Hongli Dong et al. AUTOMATICA
- Decentralized event-triggered consensus for linear multi-agent systems under general directed graphs
- (2016) Dapeng Yang et al. AUTOMATICA
- Fog and IoT: An Overview of Research Opportunities
- (2016) Mung Chiang et al. IEEE Internet of Things Journal
- Optimal Denial-of-Service Attack Scheduling With Energy Constraint
- (2015) Heng Zhang et al. IEEE TRANSACTIONS ON AUTOMATIC CONTROL
- Distributed event-triggered H∞ filtering over sensor networks with communication delays
- (2015) Xiaohua Ge et al. INFORMATION SCIENCES
- Ubiquitous Monitoring for Industrial Cyber-Physical Systems Over Relay- Assisted Wireless Sensor Networks
- (2015) Cailian Chen et al. IEEE Transactions on Emerging Topics in Computing
- Non-fragile robust stabilization andH ∞ control for uncertain stochastic time delay systems with Markovian jump parameters and nonlinear disturbances
- (2012) T. Senthilkumar et al. INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING
- Delay-Dependent Robust Stabilization and H ∞ Control for Nonlinear Stochastic Systems with Markovian Jump Parameters and Interval Time-Varying Delays
- (2011) T. Senthilkumar et al. JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS
- Robust H∞ finite-horizon filtering with randomly occurred nonlinearities and quantization effects
- (2010) Bo Shen et al. AUTOMATICA
- Robust fault detection with missing measurements
- (2008) H. Gao et al. INTERNATIONAL JOURNAL OF CONTROL
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