@article{baa65b1f14e44fc280576786b48d00ac,
title = "Event-triggered input-to-state stabilization of nonlinear systems subject to disturbances and dynamic uncertainties",
abstract = "This paper studies the design of event-triggered control schemes for nonlinear systems subject to both external disturbances and dynamic uncertainties. To avoid Zeno behavior, this paper proposes an event-triggering mechanism (ETM) that uses not only the measured system state but also an estimation of the influence of the external disturbances and dynamic uncertainty. It is shown that the proposed ETM guarantees that the inter-sampling intervals are bounded below by a positive constant, leading to the absence of Zeno phenomenon. Moreover, the closed-loop event-triggered system is input-to-state stable (ISS) with the external disturbance as the input. Nonlinear small-gain tools are refined for stability analysis.",
keywords = "Disturbance, Dynamic uncertainty, Event-triggered control, Input-to-state stabilization",
author = "Tengfei Liu and Pengpeng Zhang and Jiang, {Zhong Ping}",
note = "Funding Information: This work was supported in part by the National Natural Science Foundation of China under Grants 61522305, 61633007, 61374042 and 61533007, in part by the U.S. National Science Foundation under Grant ECCS-1501044, and in part by State Key Laboratory of Intelligent Control and Decision of Complex Systems at BIT. The material in this paper was not presented at any conference. This paper was recommended for publication in revised form by Associate Editor Romain Postoyan under the direction of Editor Daniel Liberzon ☆ This work was supported in part by the National Natural Science Foundation of China under Grants 61522305, 61633007, 61374042 and 61533007, in part by the U.S. National Science Foundation under Grant ECCS-1501044, and in part by State Key Laboratory of Intelligent Control and Decision of Complex Systems at BIT. The material in this paper was not presented at any conference. This paper was recommended for publication in revised form by Associate Editor Romain Postoyan under the direction of Editor Daniel Liberzon The authors would like to thank the anonymous AE and reviewers for their invaluable comments for the improvement of the paper. They are also grateful to Prof. Andrew R. Teel for fruitful discussions. ☆ This work was supported in part by the National Natural Science Foundation of China under Grants 61522305, 61633007, 61374042 and 61533007, in part by the U.S. National Science Foundation under Grant ECCS-1501044, and in part by State Key Laboratory of Intelligent Control and Decision of Complex Systems at BIT. The material in this paper was not presented at any conference. This paper was recommended for publication in revised form by Associate Editor Romain Postoyan under the direction of Editor Daniel Liberzon Publisher Copyright: {\textcopyright} 2019 Elsevier Ltd",
year = "2019",
month = oct,
doi = "10.1016/j.automatica.2019.07.001",
language = "English (US)",
volume = "108",
journal = "Automatica",
issn = "0005-1098",
publisher = "Elsevier Limited",
}