Adaptive Consensus of Nonlinearly Parameterized Multi-Agent Systems

Imil Hamda Imran; Zhiyong Chen; Yamin Yan; Minyue Fu

doi:10.1109/LCSYS.2019.2911688

Adaptive Consensus of Nonlinearly Parameterized Multi-Agent Systems

Imil Hamda Imran, Zhiyong Chen^*, Yamin Yan, Minyue Fu

^*Corresponding author for this work

Research output: Contribution to journal › Journal Article › peer-review

9 Citations (Scopus)

Abstract

This letter studies the distributed adaptive consensus problem for multi-agent systems (MASs) subject to nonlinearly parameterized uncertainties. In the existing research, an adaptive consensus scheme was developed for the same scenario but under the assumption that the uncertainties must be linearly parameterized in their unknown parameters. In this letter, the assumption is removed by using a novel distributed adaptive update law, which makes the scheme applicable for more general nonlinear MASs. This letter contains a general design paradigm using the certainty equivalence principle and specific implementation of it on nonlinear second-order MASs. The results are supported by rigorous mathematical analysis and numerical simulation.

Original language	English
Article number	8693556
Pages (from-to)	505-510
Number of pages	6
Journal	IEEE Control Systems Letters
Volume	3
Issue number	3
DOIs	https://doi.org/10.1109/LCSYS.2019.2911688
Publication status	Published - Jul 2019
Externally published	Yes

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Keywords

Networked control systems
adaptive control
distributed control

Access to Document

10.1109/LCSYS.2019.2911688

Cite this

@article{765b33dbee3c4e33aa82bb4e29aa59cf,

title = "Adaptive Consensus of Nonlinearly Parameterized Multi-Agent Systems",

abstract = "This letter studies the distributed adaptive consensus problem for multi-agent systems (MASs) subject to nonlinearly parameterized uncertainties. In the existing research, an adaptive consensus scheme was developed for the same scenario but under the assumption that the uncertainties must be linearly parameterized in their unknown parameters. In this letter, the assumption is removed by using a novel distributed adaptive update law, which makes the scheme applicable for more general nonlinear MASs. This letter contains a general design paradigm using the certainty equivalence principle and specific implementation of it on nonlinear second-order MASs. The results are supported by rigorous mathematical analysis and numerical simulation.",

keywords = "Networked control systems, adaptive control, distributed control",

author = "Imran, \{Imil Hamda\} and Zhiyong Chen and Yamin Yan and Minyue Fu",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.",

year = "2019",

month = jul,

doi = "10.1109/LCSYS.2019.2911688",

language = "English",

volume = "3",

pages = "505--510",

journal = "IEEE Control Systems Letters",

issn = "2475-1456",

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

number = "3",

}

TY - JOUR

T1 - Adaptive Consensus of Nonlinearly Parameterized Multi-Agent Systems

AU - Imran, Imil Hamda

AU - Chen, Zhiyong

AU - Yan, Yamin

AU - Fu, Minyue

PY - 2019/7

Y1 - 2019/7

N2 - This letter studies the distributed adaptive consensus problem for multi-agent systems (MASs) subject to nonlinearly parameterized uncertainties. In the existing research, an adaptive consensus scheme was developed for the same scenario but under the assumption that the uncertainties must be linearly parameterized in their unknown parameters. In this letter, the assumption is removed by using a novel distributed adaptive update law, which makes the scheme applicable for more general nonlinear MASs. This letter contains a general design paradigm using the certainty equivalence principle and specific implementation of it on nonlinear second-order MASs. The results are supported by rigorous mathematical analysis and numerical simulation.

AB - This letter studies the distributed adaptive consensus problem for multi-agent systems (MASs) subject to nonlinearly parameterized uncertainties. In the existing research, an adaptive consensus scheme was developed for the same scenario but under the assumption that the uncertainties must be linearly parameterized in their unknown parameters. In this letter, the assumption is removed by using a novel distributed adaptive update law, which makes the scheme applicable for more general nonlinear MASs. This letter contains a general design paradigm using the certainty equivalence principle and specific implementation of it on nonlinear second-order MASs. The results are supported by rigorous mathematical analysis and numerical simulation.

KW - Networked control systems

KW - adaptive control

KW - distributed control

UR - https://www.webofscience.com/wos/woscc/full-record/WOS:000658897900005

UR - https://www.scopus.com/pages/publications/85064665875

U2 - 10.1109/LCSYS.2019.2911688

DO - 10.1109/LCSYS.2019.2911688

M3 - Journal Article

SN - 2475-1456

VL - 3

SP - 505

EP - 510

JO - IEEE Control Systems Letters

JF - IEEE Control Systems Letters

IS - 3

M1 - 8693556

ER -

Adaptive Consensus of Nonlinearly Parameterized Multi-Agent Systems

Abstract

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

Cite this