Work

Performance-based dynamic event-triggered mechanism for state estimation

Year: 2025

Type: article

Abstract: This study proposed a dynamic event-triggered (ET) observer for nonlinear systems. The observer structure is characterised by the incorporation of a closed-loop inter-sample output predictor structure in the event-triggered mechanism (ETM). The design features two main characteristics. The first one is the asymptotic convergence of the observer with respect to the designed ETM. The second one is the Zeno-free behaviour, both of them have been proven using Lyapunov theory. Two application examples are given to illustrate the effectiveness of the proposed observer.

Source: International Journal of Systems Science

DOI: 10.1080/00207721.2025.2554187

Authors: Xincheng Zhuang, Haoping Wang, Yang Tian, Sofiane Ahmed Ali, Vicenç Puig

Institutions: Nanjing University of Science and Technology, Université Paris-Saclay, Université d'Évry Val-d'Essonne, Universitat Politècnica de Catalunya

Language: English

Topic: Stability and Control of Uncertain Systems

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: green

Funder: National Natural Science Foundation of China

Award: G336584180