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Adaptive event-triggered output-feedback stabilisation with double-side communication reduced for nonlinear systems with non-parametric uncertainties.
Adaptive event-triggered output-feedback stabilisation with double-side communication reduced for nonlinear systems with non-parametric uncertainties.
- Source :
- International Journal of Control; Jul2024, Vol. 97 Issue 7, p1565-1575, 11p
- Publication Year :
- 2024
-
Abstract
- This paper aims at adaptive event-triggered output-feedback stabilisation in the presence of intractable non-parametric uncertainties. Typically, double-side (i.e. sensor-to-controller and controller-to-actuator) event-triggered communication is pursued for efficient resource utilisation, unlike in related works only reducing single-side communication. This renders more constrained information transmitted via network, challenging the co-design of the compensation and event-triggering mechanisms. By incorporating a switching-varying mechanism, a distinctive adaptive event-triggered output-feedback scheme is established based on a switching filter reconstructing the unmeasurable states. Crucially, a convergence-preserving event-triggering mechanism is proposed with the adaptiveness for uncertainty compensation, by suitably exploiting the switching-varying gain. As such, a desired event-triggered output-feedback control is designed with linearity (with respect to the system output and the filter states) rendered for the controller signal. Just owing to the linearity, the controller signal is subtly kept from entering the event-triggering mechanism, so as to match the double-side event-triggered architecture. Furthermore, it is achieved that the system and filter states converge to zero while a positive minimum inter-execution time is ensured. [ABSTRACT FROM AUTHOR]
- Subjects :
- NONLINEAR systems
UNCERTAIN systems
PARTICIPATORY design
Subjects
Details
- Language :
- English
- ISSN :
- 00207179
- Volume :
- 97
- Issue :
- 7
- Database :
- Complementary Index
- Journal :
- International Journal of Control
- Publication Type :
- Academic Journal
- Accession number :
- 177738927
- Full Text :
- https://doi.org/10.1080/00207179.2023.2214824