Event- Triggered Adaptive Prescribed Performance Control for a Class of Uncertain Nonlinear Systems

Ye Cao; Yongduan Song

doi:10.1109/CDC.2018.8619249

Event- Triggered Adaptive Prescribed Performance Control for a Class of Uncertain Nonlinear Systems

Ye Cao
, Yongduan Song

Chongqing University

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

6 Scopus citations

Abstract

In this work, we present a new approach to design event-triggered adaptive control for a class of uncertain nonlinear systems with guaranteed performance. A prescribed performance function, which is characterized with the convergence rate, maximum overshoot, and steady error, is utilized to convert the original tracking error into a new error variable, resulting in a transformed error dynamic model. By designing event-triggered control for the transformed error dynamic model, the corresponding control scheme is able to ensure prescribed performance and reduce communication burden simultaneously. Simulation verification also confirms the effectiveness of the proposed approach.

Original language	English
Title of host publication	2018 IEEE Conference on Decision and Control, CDC 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1246-1251
Number of pages	6
ISBN (Electronic)	9781538613955
DOIs	https://doi.org/10.1109/CDC.2018.8619249
State	Published - 2 Jul 2018
Externally published	Yes
Event	57th IEEE Conference on Decision and Control, CDC 2018 - Miami, United States Duration: 17 Dec 2018 → 19 Dec 2018

Publication series

Name	Proceedings of the IEEE Conference on Decision and Control
Volume	2018-December
ISSN (Print)	0743-1546
ISSN (Electronic)	2576-2370

Conference

Conference	57th IEEE Conference on Decision and Control, CDC 2018
Country/Territory	United States
City	Miami
Period	17/12/18 → 19/12/18

Access to Document

10.1109/CDC.2018.8619249

Cite this

Cao, Y., & Song, Y. (2018). Event- Triggered Adaptive Prescribed Performance Control for a Class of Uncertain Nonlinear Systems. In 2018 IEEE Conference on Decision and Control, CDC 2018 (pp. 1246-1251). Article 8619249 (Proceedings of the IEEE Conference on Decision and Control; Vol. 2018-December). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CDC.2018.8619249

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title = "Event- Triggered Adaptive Prescribed Performance Control for a Class of Uncertain Nonlinear Systems",

abstract = "In this work, we present a new approach to design event-triggered adaptive control for a class of uncertain nonlinear systems with guaranteed performance. A prescribed performance function, which is characterized with the convergence rate, maximum overshoot, and steady error, is utilized to convert the original tracking error into a new error variable, resulting in a transformed error dynamic model. By designing event-triggered control for the transformed error dynamic model, the corresponding control scheme is able to ensure prescribed performance and reduce communication burden simultaneously. Simulation verification also confirms the effectiveness of the proposed approach.",

author = "Ye Cao and Yongduan Song",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 57th IEEE Conference on Decision and Control, CDC 2018 ; Conference date: 17-12-2018 Through 19-12-2018",

year = "2018",

month = jul,

day = "2",

doi = "10.1109/CDC.2018.8619249",

language = "英语",

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Cao, Y & Song, Y 2018, Event- Triggered Adaptive Prescribed Performance Control for a Class of Uncertain Nonlinear Systems. in 2018 IEEE Conference on Decision and Control, CDC 2018., 8619249, Proceedings of the IEEE Conference on Decision and Control, vol. 2018-December, Institute of Electrical and Electronics Engineers Inc., pp. 1246-1251, 57th IEEE Conference on Decision and Control, CDC 2018, Miami, United States, 17/12/18. https://doi.org/10.1109/CDC.2018.8619249

Event- Triggered Adaptive Prescribed Performance Control for a Class of Uncertain Nonlinear Systems. / Cao, Ye; Song, Yongduan.
2018 IEEE Conference on Decision and Control, CDC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1246-1251 8619249 (Proceedings of the IEEE Conference on Decision and Control; Vol. 2018-December).

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

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N2 - In this work, we present a new approach to design event-triggered adaptive control for a class of uncertain nonlinear systems with guaranteed performance. A prescribed performance function, which is characterized with the convergence rate, maximum overshoot, and steady error, is utilized to convert the original tracking error into a new error variable, resulting in a transformed error dynamic model. By designing event-triggered control for the transformed error dynamic model, the corresponding control scheme is able to ensure prescribed performance and reduce communication burden simultaneously. Simulation verification also confirms the effectiveness of the proposed approach.

AB - In this work, we present a new approach to design event-triggered adaptive control for a class of uncertain nonlinear systems with guaranteed performance. A prescribed performance function, which is characterized with the convergence rate, maximum overshoot, and steady error, is utilized to convert the original tracking error into a new error variable, resulting in a transformed error dynamic model. By designing event-triggered control for the transformed error dynamic model, the corresponding control scheme is able to ensure prescribed performance and reduce communication burden simultaneously. Simulation verification also confirms the effectiveness of the proposed approach.

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Y2 - 17 December 2018 through 19 December 2018

ER -

Event- Triggered Adaptive Prescribed Performance Control for a Class of Uncertain Nonlinear Systems

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