Fixed-Time Adaptive Control for Uncertain High-Order Nonlinear CPSs Against Dual-Channel Attacks

Area of Science:

• Control Theory
• Cyber-Physical Systems (CPS)
• Nonlinear Systems

Background:

• Cyber-physical systems (CPS) are vulnerable to deception attacks on communication channels.
• High-order nonlinear dynamics in CPS exacerbate control challenges under attacks.
• Existing control strategies often require prior knowledge of system parameters.

Purpose of the Study:

• To develop an adaptive fixed-time control strategy for uncertain high-order nonlinear CPS.
• To address deception attacks on both sensor-to-controller (S-C) and controller-to-actuator (C-A) channels.
• To ensure robust control performance despite system uncertainties and dual-channel attacks.

Main Methods:

• Decoupling high-order terms induced by C-A channel attacks using mathematical tools.
• Designing a robust controller utilizing compromised state information.
• Constructing novel Lyapunov functions and adaptive mechanisms to handle nonlinear uncertainties and unknown parameters.
• Developing a control strategy independent of system powers to avoid singularities.

Main Results:

• Effective mitigation of dual-channel deception attacks on CPS.
• Compensation for unknown control coefficients and nonlinear growth under attacks.
• Demonstration of a control strategy that does not require prior knowledge of system powers.
• Validation of the proposed strategy's effectiveness and feasibility through simulations.

Conclusions:

• The proposed adaptive fixed-time control strategy offers enhanced robustness for nonlinear CPS under dual-channel deception attacks.
• The method successfully handles system uncertainties and avoids singularities associated with unknown system powers.
• Simulation results confirm the practical applicability and effectiveness of the developed control approach.