Stability analysis of stochastic networked control systems under deception attacks: A novel self-triggered impulsive...

Area of Science:

• Control Engineering
• Cybersecurity
• Systems Theory

Background:

• Stochastic networked control systems (SNCSs) are vulnerable to sophisticated state-dependent and state-independent deception attacks.
• Existing control strategies often have limitations, such as restrictions on inter-impulse intervals or the need for auxiliary systems.

Purpose of the Study:

• To propose a novel self-triggered impulsive framework for SNCSs under deception attacks.
• To develop flexible and practically implementable control strategies that avoid common limitations of existing methods.

Main Methods:

• Introduced two strategies: self-triggered impulsive control (STIC) for systems without delays and self-triggered delayed impulsive control (STDIC) for systems with delays.
• Developed STIC and STDIC to eliminate restrictions on inter-impulse intervals and the need for auxiliary comparison systems.
• Ensured exclusion of Zeno behavior without continuous or periodic event detection, unlike event-triggered impulsive control (ETIC).

Main Results:

• Established sufficient conditions for guaranteeing exponential stability of SNCSs under both types of deception attacks.
• Demonstrated the interplay between triggering parameters, time delays, attack probabilities, and impulse gain.
• Validated the effectiveness of the proposed STIC and STDIC methods through simulations.

Conclusions:

• The proposed STIC and STDIC frameworks offer a more flexible and practical approach to stabilizing SNCSs against deception attacks.
• These methods effectively address the stability challenges posed by various deception attack types without the drawbacks of prior techniques.
• Simulation results confirm the robustness and efficacy of the developed control strategies.