A Rule-Based Mechanism for Event-Triggered Robust Control of Nonlinear Systems

Mengxi Wang; Pengpeng Zhang; Tengfei Liu; Zhong Ping Jiang

doi:10.1109/ICCA.2018.8444324

A Rule-Based Mechanism for Event-Triggered Robust Control of Nonlinear Systems

Mengxi Wang, Pengpeng Zhang, Tengfei Liu, Zhong Ping Jiang

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper presents a new event-generating rule for event-triggered control of nonlinear systems subject to dynamic uncertainties and external disturbance. By introducing a decision-making process to the event trigger, the sampling intervals are guaranteed to be larger than a positive value. Moreover, it is proved that the closed-loop event-triggered system is input-to-state stable with the external disturbance as the input. An application to event-triggered output-feedback control is also developed to show the effectiveness of the proposed design.

Original language	English (US)
Title of host publication	2018 IEEE 14th International Conference on Control and Automation, ICCA 2018
Publisher	IEEE Computer Society
Pages	429-434
Number of pages	6
ISBN (Print)	9781538660898
DOIs	https://doi.org/10.1109/ICCA.2018.8444324
State	Published - Aug 21 2018
Event	14th IEEE International Conference on Control and Automation, ICCA 2018 - Anchorage, United States Duration: Jun 12 2018 → Jun 15 2018

Publication series

Name	IEEE International Conference on Control and Automation, ICCA
Volume	2018-June
ISSN (Print)	1948-3449
ISSN (Electronic)	1948-3457

Other

Other	14th IEEE International Conference on Control and Automation, ICCA 2018
Country/Territory	United States
City	Anchorage
Period	6/12/18 → 6/15/18

ASJC Scopus subject areas

Artificial Intelligence
Computer Science Applications
Control and Systems Engineering
Electrical and Electronic Engineering
Industrial and Manufacturing Engineering

Access to Document

10.1109/ICCA.2018.8444324

Cite this

Wang, M., Zhang, P., Liu, T., & Jiang, Z. P. (2018). A Rule-Based Mechanism for Event-Triggered Robust Control of Nonlinear Systems. In 2018 IEEE 14th International Conference on Control and Automation, ICCA 2018 (pp. 429-434). Article 8444324 (IEEE International Conference on Control and Automation, ICCA; Vol. 2018-June). IEEE Computer Society. https://doi.org/10.1109/ICCA.2018.8444324

A Rule-Based Mechanism for Event-Triggered Robust Control of Nonlinear Systems. / Wang, Mengxi; Zhang, Pengpeng; Liu, Tengfei et al.
2018 IEEE 14th International Conference on Control and Automation, ICCA 2018. IEEE Computer Society, 2018. p. 429-434 8444324 (IEEE International Conference on Control and Automation, ICCA; Vol. 2018-June).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Wang, M, Zhang, P, Liu, T & Jiang, ZP 2018, A Rule-Based Mechanism for Event-Triggered Robust Control of Nonlinear Systems. in 2018 IEEE 14th International Conference on Control and Automation, ICCA 2018., 8444324, IEEE International Conference on Control and Automation, ICCA, vol. 2018-June, IEEE Computer Society, pp. 429-434, 14th IEEE International Conference on Control and Automation, ICCA 2018, Anchorage, United States, 6/12/18. https://doi.org/10.1109/ICCA.2018.8444324

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abstract = "This paper presents a new event-generating rule for event-triggered control of nonlinear systems subject to dynamic uncertainties and external disturbance. By introducing a decision-making process to the event trigger, the sampling intervals are guaranteed to be larger than a positive value. Moreover, it is proved that the closed-loop event-triggered system is input-to-state stable with the external disturbance as the input. An application to event-triggered output-feedback control is also developed to show the effectiveness of the proposed design.",

author = "Mengxi Wang and Pengpeng Zhang and Tengfei Liu and Jiang, {Zhong Ping}",

note = "Funding Information: This work was partially supported by NSFC grants 61522305, 61633007 and 61533007, by NSF grant ECCS-1501044, and by State Key Laboratory of Intelligent Control and Decision of Complex Systems at BIT. Funding Information: *This work was partially supported by NSFC grants 61522305, 61633007 and 61533007, by NSF grant ECCS-1501044, and by State Key Laboratory of Intelligent Control and Decision of Complex Systems at BIT. Publisher Copyright: {\textcopyright} 2018 IEEE.; 14th IEEE International Conference on Control and Automation, ICCA 2018 ; Conference date: 12-06-2018 Through 15-06-2018",

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N1 - Funding Information: This work was partially supported by NSFC grants 61522305, 61633007 and 61533007, by NSF grant ECCS-1501044, and by State Key Laboratory of Intelligent Control and Decision of Complex Systems at BIT. Funding Information: *This work was partially supported by NSFC grants 61522305, 61633007 and 61533007, by NSF grant ECCS-1501044, and by State Key Laboratory of Intelligent Control and Decision of Complex Systems at BIT. Publisher Copyright: © 2018 IEEE.

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N2 - This paper presents a new event-generating rule for event-triggered control of nonlinear systems subject to dynamic uncertainties and external disturbance. By introducing a decision-making process to the event trigger, the sampling intervals are guaranteed to be larger than a positive value. Moreover, it is proved that the closed-loop event-triggered system is input-to-state stable with the external disturbance as the input. An application to event-triggered output-feedback control is also developed to show the effectiveness of the proposed design.

AB - This paper presents a new event-generating rule for event-triggered control of nonlinear systems subject to dynamic uncertainties and external disturbance. By introducing a decision-making process to the event trigger, the sampling intervals are guaranteed to be larger than a positive value. Moreover, it is proved that the closed-loop event-triggered system is input-to-state stable with the external disturbance as the input. An application to event-triggered output-feedback control is also developed to show the effectiveness of the proposed design.

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A Rule-Based Mechanism for Event-Triggered Robust Control of Nonlinear Systems

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