Distributed event-triggered H_∞ filtering over sensor networks with sensor saturations and cyber-attacks.

Area of Science:

• Control Systems Engineering
• Networked Systems Security
• Signal Processing

Background:

• Sensor networks are vulnerable to sensor saturation and cyber-attacks, compromising data integrity and system performance.
• Event-triggered filtering strategies are crucial for efficient data transmission in distributed systems.
• Robust filtering is essential to maintain system stability and performance under disturbances.

Purpose of the Study:

• To develop a distributed event-triggered H∞ filter for sensor networks with sensor saturations and cyber-attacks.
• To establish sufficient conditions for asymptotic stability and H∞ performance of the filtering error system.
• To derive explicit expressions for the distributed H∞ filters and event-triggering parameters.

Main Methods:

• Formulation of a distributed event-triggered filtering error system incorporating sensor saturation and cyber-attacks.
• Application of Lyapunov stability theory to derive conditions for asymptotic stability and H∞ performance.
• Solution of linear matrix inequalities (LMIs) to obtain explicit filter designs and event-triggering weighting matrices.

Main Results:

• A novel distributed event-triggered H∞ filter design is presented.
• Sufficient conditions for guaranteed asymptotic stability and H∞ performance are derived.
• Explicit expressions for the filters and event-triggering parameters are obtained via LMIs.

Conclusions:

• The proposed distributed event-triggered H∞ filters effectively address sensor saturation and cyber-attacks in sensor networks.
• The developed method ensures system stability and achieves the desired H∞ performance.
• The practical utility of the designed filters is demonstrated through simulation examples.