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<p>This research delves into the event-triggered (E-T) control for uncertain nonlinear cyber–physical systems with quantization, modeled through the Takagi–Sugeno fuzzy model (TSFM) framework over a finite-time (F-T) interval. The main objective is to refine the E-T control strategy to guarantee that the closed-loop T–S fuzzy cyber–physical system (TSFCPS) achieves finite-time boundedness (FTB) and meets the predetermined mixed <InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(H_{{\infty }}\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi>H</mi> <mi>∞</mi> </msub> </math></EquationSource> </InlineEquation> and passive performance indices. An E-T control strategy is employed to alleviate the network communication load and optimize network resource utilization. To further reduce data exchange across networks, data quantization is also integrated with the E-T scheme. In addition, the impact of random cyber-attacks, which may alter the transmitted data during network communication, on the TSFCPS is considered. By resorting to Lyapunov stability theory along with analytical techniques, the sufficient conditions within the framework of linear matrix inequalities (LMIs) are established to ensure FTB of the closed-loop uncertain TSFCPS while satisfying the mixed <InlineEquation ID="IEq2"> <EquationSource Format="TEX">\(H_{{\infty }}\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi>H</mi> <mi>∞</mi> </msub> </math></EquationSource> </InlineEquation> and passivity performance constraints. Finally, we simulate a practical system to verify the performance of the proposed control approach.</p>

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Security-Based Finite-Time Control Design for Quantized Fuzzy Cyber–Physical Systems via Event-Triggered Mechanisms

  • 期刊论文

  • 发表日期：

    2026年5月11日

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  • Arunkumar Arumugam,
  • Yi-Chen Lee,
  • Li Li,
  • Wen-Jer Chang,
  • Yann-Horng Lin,
  • Dhanya Velmurugan

摘要

This research delves into the event-triggered (E-T) control for uncertain nonlinear cyber–physical systems with quantization, modeled through the Takagi–Sugeno fuzzy model (TSFM) framework over a finite-time (F-T) interval. The main objective is to refine the E-T control strategy to guarantee that the closed-loop T–S fuzzy cyber–physical system (TSFCPS) achieves finite-time boundedness (FTB) and meets the predetermined mixed \(H_{{\infty }}\) H ∞ and passive performance indices. An E-T control strategy is employed to alleviate the network communication load and optimize network resource utilization. To further reduce data exchange across networks, data quantization is also integrated with the E-T scheme. In addition, the impact of random cyber-attacks, which may alter the transmitted data during network communication, on the TSFCPS is considered. By resorting to Lyapunov stability theory along with analytical techniques, the sufficient conditions within the framework of linear matrix inequalities (LMIs) are established to ensure FTB of the closed-loop uncertain TSFCPS while satisfying the mixed \(H_{{\infty }}\) H ∞ and passivity performance constraints. Finally, we simulate a practical system to verify the performance of the proposed control approach.