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Articles

Model-based dual-stage event-triggered control of linear system with two time scales

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Pages 424-439 | Received 09 Nov 2018, Accepted 09 Jan 2020, Published online: 11 Feb 2020
 

ABSTRACT

In this paper, the model-based event-triggered control is addressed for a class of linear systems with two time scales. The singular perturbation technique is used to analyse the stability of the event-triggered control closed-loop system with a dual-stage event-triggering condition. For the differences between the matrices of the plant and the model, the relations between the parameters in the event-triggering conditions are revealed for the stability and the sampling performance of the closed-loop systems. Specifically, the parameters in the event-triggering conditions can be selected in a range independent of the matrices in the model. Finally, two numerical simulations are provided to illustrate the efficiency and feasibility of the proposed results.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by National Nature Science Foundation of China [grant numbers 61573036 and 61174057].

Notes on contributors

Xiang Ren

Xiang Ren received his M.S. degree in mathematics at North China University of Technology in 2016. Currently he is a doctoral student at the School of Automation and Electrical Engineering, Beihang University. His research interests include Singularly preturbed systems and event-triggered control.

Fei Hao

Fei Hao received his M.S. degree in Mathematics from Inner Mongolia University and Ph.D. in Dynamics and Control from Peking University in 1999 and 2002, respectively. From 2002 to 2004, he was a Post-doctoral researcher in Center for Systems and Control, Peking University. Since 2004, he has been with the Seventh Research Division, Beihang University. He is currently a Professor of Beihang University. His research interests include robust and optimal control, event-triggered control and networked control systems.

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