Cooperative Output Tracking of Heterogeneous Uncertain Nonlinear Multi-Agent Systems via Distributed Event-Triggered Adaptive Fuzzy Control

Anqing Wang; Lu Liu; Jianbin Qiu

doi:10.1109/ICIST52614.2021.9440628

Cooperative Output Tracking of Heterogeneous Uncertain Nonlinear Multi-Agent Systems via Distributed Event-Triggered Adaptive Fuzzy Control

Anqing Wang
, Lu Liu
, Jianbin Qiu

Department of Biomedical Engineering

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

3 Citations (Scopus)

Abstract

In this study, the cooperative output tracking problem is addressed for strict-feedback uncertain nonlinear multiagent systems. A novel distributed adaptive fuzzy control strategy is developed based on the event-triggered transmission scheme. With the proposed approach, only sampled output information needs to be exchanged among the communication network, which not only reduces the communication burden, but also makes the controller implementation more flexible. In addition, Zeno behavior is avoided and the cooperative output tracking error converges to an adjustable set around the origin by choosing different design parameters. The effectiveness of the main result is verified by a simulation example.

Original language	English
Title of host publication	11th International Conference on Information Science and Technology (ICIST)
Publisher	IEEE
Pages	201-206
Number of pages	6
ISBN (Electronic)	978-1-6654-1266-7
ISBN (Print)	978-1-6654-2941-2
DOIs	https://doi.org/10.1109/ICIST52614.2021.9440628
Publication status	Published - May 2021
Event	11th International Conference on Information Science and Technology, ICIST 2021 - Chengdu, China Duration: 21 May 2021 → 23 May 2021 https://conference.cs.cityu.edu.hk/icist/

Publication series

Name	International Conference on Information Science and Technology, ICIST
ISSN (Print)	2164-4357
ISSN (Electronic)	2573-3311

Conference

Conference	11th International Conference on Information Science and Technology, ICIST 2021
Place	China
City	Chengdu
Period	21/05/21 → 23/05/21
Internet address	https://conference.cs.cityu.edu.hk/icist/

Research Keywords

Adaptive fuzzy control
Event-triggered control
Leader-following consensus
Uncertain nonlinear multi-agent systems

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10.1109/ICIST52614.2021.9440628

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Wang, A., Liu, L., & Qiu, J. (2021). Cooperative Output Tracking of Heterogeneous Uncertain Nonlinear Multi-Agent Systems via Distributed Event-Triggered Adaptive Fuzzy Control. In 11th International Conference on Information Science and Technology (ICIST) (pp. 201-206). Article 9440628 (International Conference on Information Science and Technology, ICIST). IEEE. https://doi.org/10.1109/ICIST52614.2021.9440628

@inproceedings{276d60734d9f49ad9cc33fee65694981,

title = "Cooperative Output Tracking of Heterogeneous Uncertain Nonlinear Multi-Agent Systems via Distributed Event-Triggered Adaptive Fuzzy Control",

abstract = "In this study, the cooperative output tracking problem is addressed for strict-feedback uncertain nonlinear multiagent systems. A novel distributed adaptive fuzzy control strategy is developed based on the event-triggered transmission scheme. With the proposed approach, only sampled output information needs to be exchanged among the communication network, which not only reduces the communication burden, but also makes the controller implementation more flexible. In addition, Zeno behavior is avoided and the cooperative output tracking error converges to an adjustable set around the origin by choosing different design parameters. The effectiveness of the main result is verified by a simulation example.",

keywords = "Adaptive fuzzy control, Event-triggered control, Leader-following consensus, Uncertain nonlinear multi-agent systems",

author = "Anqing Wang and Lu Liu and Jianbin Qiu",

year = "2021",

month = may,

doi = "10.1109/ICIST52614.2021.9440628",

language = "English",

isbn = "978-1-6654-2941-2",

series = "International Conference on Information Science and Technology, ICIST",

publisher = "IEEE",

pages = "201--206",

booktitle = "11th International Conference on Information Science and Technology (ICIST)",

address = "United States",

note = "11th International Conference on Information Science and Technology, ICIST 2021 ; Conference date: 21-05-2021 Through 23-05-2021",

url = "https://conference.cs.cityu.edu.hk/icist/",

}

Wang, A, Liu, L & Qiu, J 2021, Cooperative Output Tracking of Heterogeneous Uncertain Nonlinear Multi-Agent Systems via Distributed Event-Triggered Adaptive Fuzzy Control. in 11th International Conference on Information Science and Technology (ICIST)., 9440628, International Conference on Information Science and Technology, ICIST, IEEE, pp. 201-206, 11th International Conference on Information Science and Technology, ICIST 2021, Chengdu, China, 21/05/21. https://doi.org/10.1109/ICIST52614.2021.9440628

Cooperative Output Tracking of Heterogeneous Uncertain Nonlinear Multi-Agent Systems via Distributed Event-Triggered Adaptive Fuzzy Control. / Wang, Anqing; Liu, Lu; Qiu, Jianbin.
11th International Conference on Information Science and Technology (ICIST). IEEE, 2021. p. 201-206 9440628 (International Conference on Information Science and Technology, ICIST).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Cooperative Output Tracking of Heterogeneous Uncertain Nonlinear Multi-Agent Systems via Distributed Event-Triggered Adaptive Fuzzy Control

AU - Wang, Anqing

AU - Liu, Lu

AU - Qiu, Jianbin

PY - 2021/5

Y1 - 2021/5

N2 - In this study, the cooperative output tracking problem is addressed for strict-feedback uncertain nonlinear multiagent systems. A novel distributed adaptive fuzzy control strategy is developed based on the event-triggered transmission scheme. With the proposed approach, only sampled output information needs to be exchanged among the communication network, which not only reduces the communication burden, but also makes the controller implementation more flexible. In addition, Zeno behavior is avoided and the cooperative output tracking error converges to an adjustable set around the origin by choosing different design parameters. The effectiveness of the main result is verified by a simulation example.

AB - In this study, the cooperative output tracking problem is addressed for strict-feedback uncertain nonlinear multiagent systems. A novel distributed adaptive fuzzy control strategy is developed based on the event-triggered transmission scheme. With the proposed approach, only sampled output information needs to be exchanged among the communication network, which not only reduces the communication burden, but also makes the controller implementation more flexible. In addition, Zeno behavior is avoided and the cooperative output tracking error converges to an adjustable set around the origin by choosing different design parameters. The effectiveness of the main result is verified by a simulation example.

KW - Adaptive fuzzy control

KW - Event-triggered control

KW - Leader-following consensus

KW - Uncertain nonlinear multi-agent systems

UR - https://www.scopus.com/pages/publications/85107990843

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85107990843&origin=recordpage

U2 - 10.1109/ICIST52614.2021.9440628

DO - 10.1109/ICIST52614.2021.9440628

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 978-1-6654-2941-2

T3 - International Conference on Information Science and Technology, ICIST

SP - 201

EP - 206

BT - 11th International Conference on Information Science and Technology (ICIST)

PB - IEEE

T2 - 11th International Conference on Information Science and Technology, ICIST 2021

Y2 - 21 May 2021 through 23 May 2021

ER -

Wang A, Liu L, Qiu J. Cooperative Output Tracking of Heterogeneous Uncertain Nonlinear Multi-Agent Systems via Distributed Event-Triggered Adaptive Fuzzy Control. In 11th International Conference on Information Science and Technology (ICIST). IEEE. 2021. p. 201-206. 9440628. (International Conference on Information Science and Technology, ICIST). doi: 10.1109/ICIST52614.2021.9440628

Cooperative Output Tracking of Heterogeneous Uncertain Nonlinear Multi-Agent Systems via Distributed Event-Triggered Adaptive Fuzzy Control

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