L2-L∞ output-feedback distributed control for multi-vehicle networks

Zhuo Zhang; Huiping Li; Yongbo Li

doi:10.1109/ICPHYS.2018.8387648

L₂-L_∞ output-feedback distributed control for multi-vehicle networks

Zhuo Zhang
, Huiping Li
, Yongbo Li

Northwestern Polytechnical University Xian

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

4 Scopus citations

Abstract

This paper investigates the L₂-L_∞-based output-feedback control for multi-vehicle formation problems. The vehicle formation model with a virtual leader is transformed into a linear multi-agent system (MAS), where the road roughness is regarded as the external disturbance. Afterwards, by applying the singular value decomposition (SVD) method, an output-feedback distributed controller subject to switching communication topologies is designed. Then the L₂-L_∞ performance of closed-loop system is investigated with the help of LMI method. Numerical examples are finally provided to illustrate the effectiveness of theoretical results.

Original language	English
Title of host publication	Proceedings - 2018 IEEE Industrial Cyber-Physical Systems, ICPS 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	129-134
Number of pages	6
ISBN (Electronic)	9781538665312
DOIs	https://doi.org/10.1109/ICPHYS.2018.8387648
State	Published - 15 Jun 2018
Event	1st IEEE International Conference on Industrial Cyber-Physical Systems, ICPS 2018 - Saint Petersburg, Russian Federation Duration: 15 May 2018 → 18 May 2018

Publication series

Name	Proceedings - 2018 IEEE Industrial Cyber-Physical Systems, ICPS 2018

Conference

Conference	1st IEEE International Conference on Industrial Cyber-Physical Systems, ICPS 2018
Country/Territory	Russian Federation
City	Saint Petersburg
Period	15/05/18 → 18/05/18

Keywords

Distributed control
L-L performance
Multi-agent systems (MASs)
Output-feedback control

Access to Document

10.1109/ICPHYS.2018.8387648

Cite this

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title = "L2-L∞ output-feedback distributed control for multi-vehicle networks",

abstract = "This paper investigates the L2-L∞-based output-feedback control for multi-vehicle formation problems. The vehicle formation model with a virtual leader is transformed into a linear multi-agent system (MAS), where the road roughness is regarded as the external disturbance. Afterwards, by applying the singular value decomposition (SVD) method, an output-feedback distributed controller subject to switching communication topologies is designed. Then the L2-L∞ performance of closed-loop system is investigated with the help of LMI method. Numerical examples are finally provided to illustrate the effectiveness of theoretical results.",

keywords = "Distributed control, L-L performance, Multi-agent systems (MASs), Output-feedback control",

author = "Zhuo Zhang and Huiping Li and Yongbo Li",

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year = "2018",

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language = "英语",

series = "Proceedings - 2018 IEEE Industrial Cyber-Physical Systems, ICPS 2018",

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Zhang, Z, Li, H & Li, Y 2018, L₂-L_∞ output-feedback distributed control for multi-vehicle networks. in Proceedings - 2018 IEEE Industrial Cyber-Physical Systems, ICPS 2018. Proceedings - 2018 IEEE Industrial Cyber-Physical Systems, ICPS 2018, Institute of Electrical and Electronics Engineers Inc., pp. 129-134, 1st IEEE International Conference on Industrial Cyber-Physical Systems, ICPS 2018, Saint Petersburg, Russian Federation, 15/05/18. https://doi.org/10.1109/ICPHYS.2018.8387648

L₂-L_∞ output-feedback distributed control for multi-vehicle networks. / Zhang, Zhuo; Li, Huiping ; Li, Yongbo.
Proceedings - 2018 IEEE Industrial Cyber-Physical Systems, ICPS 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 129-134 (Proceedings - 2018 IEEE Industrial Cyber-Physical Systems, ICPS 2018).

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

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N2 - This paper investigates the L2-L∞-based output-feedback control for multi-vehicle formation problems. The vehicle formation model with a virtual leader is transformed into a linear multi-agent system (MAS), where the road roughness is regarded as the external disturbance. Afterwards, by applying the singular value decomposition (SVD) method, an output-feedback distributed controller subject to switching communication topologies is designed. Then the L2-L∞ performance of closed-loop system is investigated with the help of LMI method. Numerical examples are finally provided to illustrate the effectiveness of theoretical results.

AB - This paper investigates the L2-L∞-based output-feedback control for multi-vehicle formation problems. The vehicle formation model with a virtual leader is transformed into a linear multi-agent system (MAS), where the road roughness is regarded as the external disturbance. Afterwards, by applying the singular value decomposition (SVD) method, an output-feedback distributed controller subject to switching communication topologies is designed. Then the L2-L∞ performance of closed-loop system is investigated with the help of LMI method. Numerical examples are finally provided to illustrate the effectiveness of theoretical results.

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KW - L-L performance

KW - Multi-agent systems (MASs)

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