Quantum mechanics

Algorithm

Control (management)

Cyber-physical system

Computer security

Real-time computing

Operating system

Power (physics)

Computer science

Cyber-attack

Physics

Optics

Electric power system

Artificial intelligence

Control theory (sociology)

Adaptation (eye)

Journal of the Franklin Institute

In this work, cyber-physical systems with output feedback control, whose sensors are experiencing faults or are under cyber-attack, are studied. Two different cases are investigated. First, when all sensors are attacked, then, when some sensors are protected from the attacks. Finite time convergent observers, specifically the sliding mode ones, including the observers with gain adaptation, are employed for online reconstruction of the cyber-attacks. The corrupted measured outputs are “cleaned” from cyber-attacks, and feedback control that uses the “cleaned” outputs is shown to provide elevated cyber-physical system performance close to the one without attack. Finally, the proposed methodology is applied to an electric power system under Stealth cyber-attack. Simulation results illustrate the efficacy of the proposed observers.

Cyber-attacks and faults reconstruction using finite time convergent observation algorithms: Electric power network application