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Dynamic Event-Triggered Control for Interval Type-2 Fuzzy Systems Under Fading Channel
IEEE Transactions on Cybernetics
|June 12, 2020
Summary
This study introduces an event-based control strategy for interval type-2 (IT2) fuzzy systems facing fading channels. The dynamic event-triggered mechanism conserves resources while ensuring system stability under unpredictable communication.
Area of Science:
- Control Systems Engineering
- Fuzzy Logic Systems
- Communication Networks
Background:
- Event-triggered control conserves resources in networked systems.
- Fading channels introduce uncertainty in data transmission.
- Interval type-2 (IT2) fuzzy systems offer enhanced uncertainty handling.
Purpose of the Study:
- To develop an event-based state-feedback control for IT2 fuzzy systems with fading channels.
- To design a dynamic event-triggered mechanism for efficient data transmission.
- To ensure stochastic stability of the closed-loop system under channel fading.
Main Methods:
- Utilized a dynamic event-triggered (ET) mechanism for resource saving.
- Employed a time-varying random process to model channel fading.
- Synthesized a nonparallel distribution compensation (non-PDC) IT2 fuzzy controller.
- Applied a membership-function-dependent analysis for imperfectly matched MFs.
Main Results:
- Achieved relaxed stability criteria using membership-function-dependent analysis.
- Ensured stochastic stability of the closed-loop IT2 fuzzy system despite fading.
- Demonstrated the method's effectiveness through a mass-spring-damper system and a numerical example.
Conclusions:
- The proposed event-based control strategy effectively manages IT2 fuzzy systems under fading channels.
- The dynamic ET mechanism and advanced stability analysis ensure robust system performance.
- The method provides a practical solution for resource-constrained networked control systems.
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