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Dynamic event-triggered sliding mode control for interval Type-2 fuzzy systems with fading channels
Yekai Yang1, Yugang Niu1, Zhina Zhang1
1Key Laboratory of Advanced Control and Optimization for Chemical Process (East China University of Science and Technology), Ministry of Education, Shanghai, 200237, China.
ISA Transactions
|March 22, 2021
Summary
This study introduces a dynamic event-triggered sliding mode control (SMC) for interval type-2 (IT2) fuzzy systems facing fading channels. The method ensures system stability and performance despite communication uncertainties.
Area of Science:
- Control Engineering
- Fuzzy Systems
- Wireless Communication
Background:
- Sliding Mode Control (SMC) is crucial for robust system performance.
- Interval Type-2 (IT2) fuzzy systems offer enhanced uncertainty handling.
- Fading channels in wireless networks pose significant challenges for control systems.
Purpose of the Study:
- To develop an SMC strategy for IT2 fuzzy systems operating over fading channels.
- To implement a dynamic event-triggered mechanism to reduce data transmission.
- To ensure system stability and performance under communication impairments.
Main Methods:
- Design of a fuzzy state observer for IT2 fuzzy systems.
- Development of a fuzzy SMC law considering channel fading.
- Introduction of a dynamic event-triggered mechanism for signal transmission.
- Analysis of stability conditions using input-to-state practical stability in mean square.
Main Results:
- The proposed control scheme ensures the reachability of sliding mode dynamics.
- Stability conditions are derived that account for the fading parameter.
- The system demonstrates practical stability in mean square despite channel fading.
- Numerical simulations and a tunnel diode circuit validate the control scheme's effectiveness.
Conclusions:
- The dynamic event-triggered SMC is effective for IT2 fuzzy systems in fading environments.
- The approach balances control performance with reduced communication load.
- The study provides a robust framework for control systems in unreliable communication networks.
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