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- Title
Event-Triggered Fault Estimation and Fault Tolerance for Cyber-Physical Systems with False Data Injection Attacks.
- Authors
Li, Yunji; Zhou, Wenzhuo; Wu, Yajun
- Abstract
This paper investigates an event-triggered framework for addressing fault estimation and fault tolerance issues in discrete-time cyber-physical systems (CPSs) with partial state saturations and random false data injection attacks (FDIAs). A stochastic variable is introduced to characterize the random FDIAs and to establish the corresponding model. A reduced-order fault estimator and an event condition are co-derived to reconstruct system states and actuator faults. The proposed event-triggered transmission scheme helps reduce network utilization in the sensor-to-estimator channel. A sufficient condition for the proposed event-triggered estimator is derived, which minimizes state and fault estimation errors even when the controlled plants are subject to exogenous disturbances, fault signals, and random attacks. Furthermore, a fault-tolerant compensation controller is proposed using the estimated states and faults, ensuring that the considered systems achieve mean-squared stability. Finally, a DC motor platform is developed to further demonstrate the effectiveness of the designed estimator-based fault-tolerant controller.
- Subjects
CYBER physical systems; RANDOM variables; FAULT tolerance (Engineering); DISCRETE-time systems; FAULT-tolerant computing; ACTUATORS
- Publication
Actuators, 2023, Vol 12, Issue 5, p197
- ISSN
2076-0825
- Publication type
Article
- DOI
10.3390/act12050197