Decentralized Predictor Feedback of Large-scale Systems under Input Delays

Yang Zhu; Emilia Fridman

doi:10.1109/CDC40024.2019.9029490

Decentralized Predictor Feedback of Large-scale Systems under Input Delays

Yang Zhu, Emilia Fridman

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

3 Scopus citations

Abstract

This paper develops a decentralized predictor feedback approach for large-scale interconnected systems with large input delays. The local control law proposed in this paper does not employ information from other neighbors. We propose two methods for the delay compensation: the backstepping-based predictor and the one based on the reduction approach. The first one leads to simpler conditions and manages with larger delays, whereas the second can be easily applied to sampled-data implementation with asynchronous sampling instants. Through a benchmark example of two coupled cart-pendulum systems, the proposed approach is demonstrated to be effective when the input delays are too large for the system to be stabilized without a predictor.

Original language	English
Title of host publication	2019 IEEE 58th Conference on Decision and Control, CDC 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	4642-4647
Number of pages	6
ISBN (Electronic)	9781728113982
DOIs	https://doi.org/10.1109/CDC40024.2019.9029490
State	Published - Dec 2019
Event	58th IEEE Conference on Decision and Control, CDC 2019 - Nice, France Duration: 11 Dec 2019 → 13 Dec 2019

Publication series

Name	Proceedings of the IEEE Conference on Decision and Control
Volume	2019-December
ISSN (Print)	0743-1546
ISSN (Electronic)	2576-2370

Conference

Conference	58th IEEE Conference on Decision and Control, CDC 2019
Country/Territory	France
City	Nice
Period	11/12/19 → 13/12/19

Funding

Funders	Funder number
Council for Higher Education
Planning and Budgeting Committee of the Council for Higher Education of Israel

Access to Document

10.1109/CDC40024.2019.9029490

Cite this

Zhu, Y., & Fridman, E. (2019). Decentralized Predictor Feedback of Large-scale Systems under Input Delays. In 2019 IEEE 58th Conference on Decision and Control, CDC 2019 (pp. 4642-4647). Article 9029490 (Proceedings of the IEEE Conference on Decision and Control; Vol. 2019-December). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CDC40024.2019.9029490

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title = "Decentralized Predictor Feedback of Large-scale Systems under Input Delays",

abstract = "This paper develops a decentralized predictor feedback approach for large-scale interconnected systems with large input delays. The local control law proposed in this paper does not employ information from other neighbors. We propose two methods for the delay compensation: the backstepping-based predictor and the one based on the reduction approach. The first one leads to simpler conditions and manages with larger delays, whereas the second can be easily applied to sampled-data implementation with asynchronous sampling instants. Through a benchmark example of two coupled cart-pendulum systems, the proposed approach is demonstrated to be effective when the input delays are too large for the system to be stabilized without a predictor.",

author = "Yang Zhu and Emilia Fridman",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 58th IEEE Conference on Decision and Control, CDC 2019 ; Conference date: 11-12-2019 Through 13-12-2019",

year = "2019",

month = dec,

doi = "10.1109/CDC40024.2019.9029490",

language = "אנגלית",

series = "Proceedings of the IEEE Conference on Decision and Control",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "4642--4647",

booktitle = "2019 IEEE 58th Conference on Decision and Control, CDC 2019",

address = "ארצות הברית",

}

Zhu, Y & Fridman, E 2019, Decentralized Predictor Feedback of Large-scale Systems under Input Delays. in 2019 IEEE 58th Conference on Decision and Control, CDC 2019., 9029490, Proceedings of the IEEE Conference on Decision and Control, vol. 2019-December, Institute of Electrical and Electronics Engineers Inc., pp. 4642-4647, 58th IEEE Conference on Decision and Control, CDC 2019, Nice, France, 11/12/19. https://doi.org/10.1109/CDC40024.2019.9029490

Decentralized Predictor Feedback of Large-scale Systems under Input Delays. / Zhu, Yang; Fridman, Emilia.
2019 IEEE 58th Conference on Decision and Control, CDC 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 4642-4647 9029490 (Proceedings of the IEEE Conference on Decision and Control; Vol. 2019-December).

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

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AB - This paper develops a decentralized predictor feedback approach for large-scale interconnected systems with large input delays. The local control law proposed in this paper does not employ information from other neighbors. We propose two methods for the delay compensation: the backstepping-based predictor and the one based on the reduction approach. The first one leads to simpler conditions and manages with larger delays, whereas the second can be easily applied to sampled-data implementation with asynchronous sampling instants. Through a benchmark example of two coupled cart-pendulum systems, the proposed approach is demonstrated to be effective when the input delays are too large for the system to be stabilized without a predictor.

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Decentralized Predictor Feedback of Large-scale Systems under Input Delays

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