Observer-based secure [Formula: see text] control for networked control systems with multiple disturbances, actuator...

Area of Science:

• Control Systems Engineering
• Networked Control Systems
• Cybersecurity

Background:

• Networked control systems (NCS) are susceptible to actuator failures and deception attacks.
• These vulnerabilities can be modeled using Markov processes and Bernoulli random variables.
• Disturbances in NCS include both modeled and unmodeled types.

Purpose of the Study:

• To develop an observer-based anti-disturbance control strategy for NCS.
• To address actuator failures and deception attacks using adaptive event-triggered mechanisms.
• To conserve network resources while ensuring system performance.

Main Methods:

• Proposed a novel observer-based adaptive event-triggered mechanism with dynamic threshold adjustment.
• Modeled actuator failures and deception attacks using stochastic processes.
• Employed Lyapunov-Krasovskii functionals and linear matrix inequality (LMI) techniques for analysis and design.

Main Results:

• Derived sufficient conditions for guaranteeing H-infinity control performance.
• Co-designed observer gains, controller gains, and event-triggered parameters.
• Demonstrated the effectiveness of the proposed method through simulations.

Conclusions:

• The proposed adaptive event-triggered control effectively enhances the robustness of NCS against disturbances, actuator failures, and deception attacks.
• The dynamic threshold adjustment conserves network bandwidth.
• The LMI-based co-design ensures optimal control performance.