Observer based resilient security control for networked nondeterministic Markovian jump systems with cyber attacks...

Area of Science:

• Control Systems Engineering
• Cyber-Physical Systems
• Stochastic Systems

Background:

• Networked control systems face challenges from cyber attacks, actuator failures, and controller variations.
• Probabilistic cyber attacks degrade system stability and performance in communication networks.
• Event-triggered control conserves resources and reduces network load.

Purpose of the Study:

• To design an observer-based resilient event-triggered control strategy.
• To address stochastic Markovian jump systems under probabilistic cyber attacks, actuator failures, and controller gain variations.
• To ensure system stability and performance under uncertain conditions.

Main Methods:

• An observer estimates system states from measurements.
• An event-triggered scheme manages communication between observer and controller.
• Discontinuous Lyapunov functional, stochastic inequality, and integral inequality are employed for controller design.

Main Results:

• Sufficient conditions for stochastic stability are derived.
• The proposed control strategy enhances system resilience.
• Controller design accounts for actuator faults and gain variations simultaneously.

Conclusions:

• The developed observer-based resilient event-triggered control ensures stochastic stability.
• The methodology provides a practical approach for complex control systems.
• Numerical examples validate the theoretical findings and effectiveness.