Simultaneous Event-Triggered Fault Detection and Estimation for Stochastic Systems Subject to Deception Attacks

Area of Science:

• Control Systems Engineering
• Signal Processing
• Cybersecurity

Background:

• Discrete-time stochastic systems are susceptible to unknown disturbances and deception attacks.
• Event-triggered transmission schemes are crucial for efficient resource utilization in wireless sensor networks.
• Existing fault-detection methods may lack robustness against combined disturbances and attacks.

Purpose of the Study:

• To design a fault-detection filter and fault estimator for discrete-time stochastic systems under event-triggered conditions.
• To ensure the fault-detection residual is sensitive to faults but robust to unknown disturbances and deception attacks.
• To develop an efficient event-triggered data transmission scheme for wireless sensor nodes.

Main Methods:

• A coordinate transformation approach was used to decouple fault and disturbance effects.
• The fault-detection filter gain was optimized by minimizing the upper bound of filter error covariance.
• A recursive approach was developed for fault estimator gain calculation and performance guarantee.
• An event-triggered sensor data transmission scheme was designed to conserve energy.

Main Results:

• A synthesized fault-detection filter and estimator design was successfully developed.
• The proposed method effectively distinguishes between system faults and unknown disturbances.
• The event-triggered scheme improves the operational lifespan of wireless sensor nodes.
• Experimental validation on a scaled industrial system confirmed the theoretical results.

Conclusions:

• The proposed fault-detection and estimation strategy is effective for discrete-time stochastic systems under event-triggered conditions.
• The integration of coordinate transformation and recursive gain calculation ensures robust and accurate fault diagnosis.
• The event-triggered transmission scheme offers a practical solution for energy-efficient monitoring in wireless sensor networks.
• A novel fault-alarming strategy guarantees real-time fault-detection capabilities upon event triggering.