Output-Constrained Secured Tracking Control for Distributed Cyber-Physical Systems Against FDI Attacks

Area of Science:

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

Background:

• Networked cyber-physical systems (CPSs) face challenges from system uncertainties and malicious false data injection (FDI) attacks.
• Existing control strategies often struggle with output constraints, especially when reference signals violate these constraints.
• False data injection attacks are designed to deliberately cause system failures by violating output constraints.

Purpose of the Study:

• To address the distributed tracking problem in networked CPSs under FDI attacks and output constraints.
• To introduce a novel barrier tracking error (BTE) concept to manage systems where reference signals may violate constraints.
• To develop a robust and efficient control strategy that mitigates the impact of FDI attacks and reduces communication overhead.

Main Methods:

• Development of a new metric, the barrier tracking error (BTE), applicable to conventional control schemes.
• Design of a nonsingular finite-time controller utilizing backstepping techniques and neural networks.
• Implementation of an event-triggered quantized control strategy to optimize channel and actuator usage.

Main Results:

• The proposed barrier tracking error (BTE) effectively handles output constraints, even when reference signals violate them.
• The neural network-based finite-time controller demonstrates robustness against malicious FDI attacks.
• The event-triggered quantized control strategy significantly reduces communication and actuator burdens.

Conclusions:

• The barrier tracking error (BTE) offers a flexible approach to incorporate output constraints into various control systems.
• The developed controller ensures finite-time stability for networked CPSs facing uncertainties and FDI attacks.
• The study provides a practical solution for secure and efficient control of networked CPSs.