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Security control for nonlinear systems under quantization and Round-Robin protocol subject to deception attacks.

Bo Wu1, Xiao-Heng Chang1

  • 1School of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan, Hubei, 430081, China.

ISA Transactions
|March 29, 2022
PubMed
Summary
This summary is machine-generated.

This study addresses nonlinear system security under quantization, communication protocols, and deception attacks using Takagi-Sugeno fuzzy models. A novel observer-based controller ensures system security despite these challenges, validated by a numerical example.

Keywords:
Deception attacksProtocolQuantizationSecurity controlT–S fuzzy model

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Area of Science:

  • Control Systems Engineering
  • Fuzzy Systems Theory
  • Cybersecurity

Background:

  • Nonlinear systems are vulnerable to security threats like quantization, communication protocols, and deception attacks.
  • Existing control strategies often fail to account for the combined effects of these challenges.
  • Takagi-Sugeno (T-S) fuzzy models offer a framework for analyzing nonlinear systems.

Purpose of the Study:

  • To develop a robust security control strategy for nonlinear systems facing simultaneous quantization and deception attacks.
  • To design a mode-dependent observer-based controller and dynamic quantizers to guarantee system security.
  • To ensure the closed-loop system's security in probability with a prescribed quadratic cost index.

Main Methods:

  • Utilizing the Takagi-Sugeno (T-S) fuzzy model for nonlinear system representation.
  • Implementing dynamic quantizers for both measurement output and control input signals.
  • Characterizing deception attacks using Bernoulli processes and scheduling communication via Round-Robin (RR) protocol.
  • Employing linear matrix inequalities (LMIs) for controller gain and quantizer parameter design.

Main Results:

  • Sufficient design conditions for the controller gains and dynamic quantizers were derived using the LMI approach.
  • The proposed observer-based controller and dynamic quantizers effectively guarantee the security in probability of the closed-loop system.
  • The method ensures a prescribed quadratic cost index is met under the specified security constraints.

Conclusions:

  • The developed security control method effectively mitigates the impact of quantization, communication protocols, and deception attacks in nonlinear systems.
  • The LMI-based design provides a systematic way to synthesize robust controllers and quantizers.
  • Numerical simulations confirm the practical applicability and validity of the proposed approach for enhancing system security.