<p>This article investigates the security issues of a networked cascade control system (NCCS) under periodic denial-of-service (DoS) attacks. To address the inherent nonlinearity of the system and alleviate communication pressure under periodic DoS attacks, this work applies a novel event-triggered mechanism (ETM) for NCCS. The design specifically addresses transmission delays caused by the outer-loop network. Compared with previous triggering mechanisms, the proposed mechanism reduces the triggering frequency and extends the triggering intervals. The paper first establishes a continuous-time nonlinear model for NCCS, describing the structure and control laws of the master–slave controllers. Subsequently, the stability of the control system is examined through the application of Lyapunov function theory, state feedback controller is designed, and linear matrix inequality (LMI) techniques are utilized to determine the unknown system parameters and controller gains. Finally, a simulation of the main steam temperature (MST) control system of a thermal power plant is given, which verifies the effectiveness and practicability of the design scheme in this paper and ensures the stable operation of the system.</p>

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Improved event-triggered controller design for nonlinear networked cascade control system under cyber attacks

  • Zhaoping Du,
  • Mingqing Di,
  • Changjiang Li,
  • Hui Ye,
  • Jianzhen Li

摘要

This article investigates the security issues of a networked cascade control system (NCCS) under periodic denial-of-service (DoS) attacks. To address the inherent nonlinearity of the system and alleviate communication pressure under periodic DoS attacks, this work applies a novel event-triggered mechanism (ETM) for NCCS. The design specifically addresses transmission delays caused by the outer-loop network. Compared with previous triggering mechanisms, the proposed mechanism reduces the triggering frequency and extends the triggering intervals. The paper first establishes a continuous-time nonlinear model for NCCS, describing the structure and control laws of the master–slave controllers. Subsequently, the stability of the control system is examined through the application of Lyapunov function theory, state feedback controller is designed, and linear matrix inequality (LMI) techniques are utilized to determine the unknown system parameters and controller gains. Finally, a simulation of the main steam temperature (MST) control system of a thermal power plant is given, which verifies the effectiveness and practicability of the design scheme in this paper and ensures the stable operation of the system.