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<p>This paper proposes a novel control problem of networked control systems (NCSs) via truncated predictive control (TPC) based on uncertainty and disturbance estimation (UDE) affected by time-varying delays and dual cyber-physical attacks. First, a dynamic framework for NCSs is developed that accounts for uncertainty components and external disturbances. Afterward, the asymptotic stability (AS) for the closed-loop system with dual attacks is guaranteed using appropriate Lyapunov–Krasovskii functionals (LKF) and linear matrix inequalities (LMIs). The dual attacks are described using Bernoulli distribution for the switching procedure between deception attacks (D-A) and denial-of-service attacks (DoS-A). Finally, a simulation study including a batch reactor model is presented to demonstrate the efficiency of the proposed method.</p>

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Truncated predictive control for delayed networked control systems under dual attacks

  • 期刊论文

  • 发表日期：

    2025年10月18日

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  • T. Narenshakthi,
  • S. Dharani

摘要

This paper proposes a novel control problem of networked control systems (NCSs) via truncated predictive control (TPC) based on uncertainty and disturbance estimation (UDE) affected by time-varying delays and dual cyber-physical attacks. First, a dynamic framework for NCSs is developed that accounts for uncertainty components and external disturbances. Afterward, the asymptotic stability (AS) for the closed-loop system with dual attacks is guaranteed using appropriate Lyapunov–Krasovskii functionals (LKF) and linear matrix inequalities (LMIs). The dual attacks are described using Bernoulli distribution for the switching procedure between deception attacks (D-A) and denial-of-service attacks (DoS-A). Finally, a simulation study including a batch reactor model is presented to demonstrate the efficiency of the proposed method.