Sampled Data-Based Observer and Resilient Event-Triggered Controller Design for Cyber-Physical Systems to Mitigate...

Area of Science:

• Cyber-Physical Systems Security
• Control Theory
• Networked Systems

Background:

• Cyber-physical systems (CPSs) are vulnerable to sophisticated network attacks.
• Mixed attacks, including false-data-injection (FDI) and denial-of-service (DoS), pose significant security challenges.
• Existing control methods often struggle with transmission constraints and incomplete state information.

Purpose of the Study:

• To develop a secure control strategy for CPSs under simultaneous FDI and DoS attacks.
• To design a sampled-data observer for state estimation and FDI attack reconstruction.
• To introduce a resilient event-triggered mechanism (ETM) to mitigate DoS attacks.

Main Methods:

• A novel sampled-data observer was designed to estimate system states and reconstruct FDI attacks.
• A resilient event-triggered mechanism (ETM) was developed to tolerate energy-bounded DoS attacks.
• An observer-based event-triggered controller was constructed by integrating the observer and ETM.

Main Results:

• The proposed controller ensures asymptotically bounded convergence under mixed attacks.
• The approach effectively compensates for FDI attacks and tolerates DoS attacks.
• Simulations on a three-tank system and inverted pendulum system demonstrated superior performance.

Conclusions:

• The developed observer-based event-triggered controller provides robust security for CPSs against mixed network attacks.
• The method overcomes limitations of transmission constraints and partial state measurements.
• The approach offers a promising solution for secure and resilient CPS operation.