Szczegóły publikacji
Opis bibliograficzny
Resilient event-triggered observer-based control of uncertain nonlinear fuzzy systems subject to unknown inputs / Mohsen Farbood, Zeinab Echreshavi, Saleh Mobayen, Paweł SKRUCH // IEEE Access [Dokument elektroniczny]. — Czasopismo elektroniczne ; ISSN 2169-3536. — 2025 — vol. 13, s. 156359–156374. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 156373–156374, Abstr. — Publikacja dostępna online od: 2025-09-03
Autorzy (4)
- Farbood Mohsen
- Echreshavi Zeinab
- Mobayen Saleh
- AGHSkruch Paweł
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 162549 |
|---|---|
| Data dodania do BaDAP | 2025-09-18 |
| Tekst źródłowy | URL |
| DOI | 10.1109/ACCESS.2025.3605847 |
| Rok publikacji | 2025 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Creative Commons | |
| Czasopismo/seria | IEEE Access |
Abstract
This paper proposes a novel observer-based event-triggered integral sliding mode control (SMC) strategy for Takagi-Sugeno fuzzy systems (TSFM) subject to unknown inputs, external disturbances, and model uncertainties. To ensure robust state estimation, a newly formulated unknown input observer (UIO) is developed that accommodates nonlinear output functions, thereby overcoming the limitations of existing methods that assume linear outputs. Additionally, a disturbance observer is introduced to estimate unmatched external disturbances effectively. Two fuzzy integral sliding surfaces are designed, a periodic-time surface to enhance robustness and a time-triggered surface to reduce computational burden and control signal chattering. An event-triggered mechanism based on a time-decaying threshold is incorporated to optimize control update instances, ensuring Zeno-free behavior. Lyapunov-based stability analysis confirms the ultimate boundedness stability (UBS) of the closed-loop system, and controller gains are computed through linear matrix inequalities (LMIs) and steady-state output theory. Simulation studies, including a numerical and practical truck-trailer system, validate the superior performance of the proposed control strategy in terms of disturbance rejection, reduced computation, and robustness compared to conventional methods.
