Decentralized Adaptive Secure Control of Uncertain Nonlinear Time-Varying Interconnected Systems Against Sensor and...

Area of Science:

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

Background:

• Cyber-physical systems (CPSs) are increasingly vulnerable to sophisticated deception attacks.
• Ensuring secure and stable control in interconnected nonlinear systems with uncertainties is challenging.
• Existing control strategies may not adequately address multiplicative attacks on sensor-actuator communication.

Purpose of the Study:

• To investigate the decentralized adaptive secure control problem for CPSs under multiplicative deception attacks.
• To develop a novel control strategy that guarantees system stability and performance.
• To analyze the system's robustness against time-varying parameters and external disturbances.

Main Methods:

• A decentralized adaptive backstepping secure control strategy is proposed.
• Nussbaum functions and flat-zone Lyapunov function analysis are utilized.
• The control design accounts for nonlinear interconnected strict-feedback system dynamics.

Main Results:

• All closed-loop signals are proven to be globally bounded.
• Each output signal converges to a small neighborhood of the origin.
• The proposed control scheme demonstrates effectiveness through simulation.

Conclusions:

• The developed decentralized adaptive secure control strategy effectively mitigates deception attacks in CPSs.
• The approach ensures system stability and performance in the presence of uncertainties and multiplicative attacks.
• Simulation results validate the robustness and efficacy of the proposed control scheme.