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Fuzzy event-triggered tracking control for nonlinear unreliable networked systems.

Zifang Qu1, Zhenbin Du2, Yonggui Kao3

  • 1School of Mathematics and Information Science, Shandong Technology and Business University, Yantai, Shandong 264005, China.

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|July 23, 2022
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Summary

This study introduces a fuzzy event-triggered tracking controller for unreliable networked systems. The new method ensures system stability and effective tracking control performance.

Keywords:
Event-triggeredInterval type-2 (IT2) fuzzy systemLooped-functionalTracking controlUnreliable data transmission

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Area of Science:

  • Control Engineering
  • Fuzzy Systems
  • Networked Systems

Background:

  • Unreliable networked systems pose challenges for precise control.
  • Event-triggered control strategies aim to reduce communication load.

Purpose of the Study:

  • To develop a fuzzy event-triggered tracking control method.
  • To ensure stability and performance in unreliable networked systems.

Main Methods:

  • Designing a fuzzy event-based tracking controller.
  • Utilizing the looped Lyapunov-Krasovskii functional for stability analysis.
  • Determining sufficient conditions for controller design.

Main Results:

  • The proposed controller achieves effective tracking control performance.
  • Stability analysis confirms the system's robustness.
  • Sufficient conditions for the controller were successfully determined.

Conclusions:

  • The fuzzy event-triggered tracking control design is feasible.
  • The method provides a viable solution for controlling unreliable networked systems.