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Event-Triggered Sampled-data Disturbance Attenuation for Uncertain Fuzzy Systems: Positivity and Separation Principle
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1초록
This paper addresses the positive sampled-data observer-based output-feedback control problem for Takagi-Sugeno fuzzy models with uncertainties. Leveraging an aperiodic sampling framework driven by event-triggering mechanisms, we propose a sampled-data design technique aimed at achieving positive - disturbance attenuation. A distinctive fuzzy OBOF controller is separately designed to enhance closed-loop positivity. This study investigates the Zeno-free behavior of the designed controller. A numerical example demonstrates the effectiveness of our proposed methodology.
키워드
Takagi-Sugeno fuzzy system; Positivity; Sampled-data control; Event-triggered control; Separation principle; NONLINEAR-SYSTEMS; STABILIZATION; DESIGN
- 제목
- Event-Triggered Sampled-data Disturbance Attenuation for Uncertain Fuzzy Systems: Positivity and Separation Principle
- 저자
- Lee, Ho Jae
- 발행일
- 2025-04-15
- 유형
- Article
- 권
- 20
- 호
- 5
- 페이지
- 3667 ~ 3674