Leader-Follower Fixed-Time Consensus for Multi-agent Systems with Heterogeneous Non-linear Inherent Dynamics

Akbar Sharghi; Mahdi Baradarannia; Farzad Hashemzadeh

doi:10.1109/ISCMI.2016.48

Leader-Follower Fixed-Time Consensus for Multi-agent Systems with Heterogeneous Non-linear Inherent Dynamics

University of Tabriz

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

14 Citations (Scopus)

Abstract

In this paper the leader-follower fixed-time consensus of multi agent systems with non-linear inherent dynamics is investigated. The non-linear inherent dynamics for followers and leader are supposed to be different. A distributed control protocol is proposed based on fixed-time consensus and it is shown that the proposed method solves leader-following fixed-time consensus. Finally, simulations are performed to show the efficiency of the theoretical results.

Original language	English
Title of host publication	Proceedings - 2016 3rd International Conference on Soft Computing and Machine Intelligence, ISCMI 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	224-228
Number of pages	5
ISBN (Electronic)	9781509036967
DOIs	https://doi.org/10.1109/ISCMI.2016.48
Publication status	Published - 2 Oct 2017
Externally published	Yes
Event	3rd International Conference on Soft Computing and Machine Intelligence, ISCMI 2016 - Dubai, United Arab Emirates Duration: 23 Nov 2016 → 25 Nov 2016

Publication series

Name	Proceedings - 2016 3rd International Conference on Soft Computing and Machine Intelligence, ISCMI 2016

Conference

Conference	3rd International Conference on Soft Computing and Machine Intelligence, ISCMI 2016
Country/Territory	United Arab Emirates
City	Dubai
Period	23/11/16 → 25/11/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Keywords

fixed-time consensus
heterogeneous non-linear multi-agent systems
leader-follower multi-agent

Access to Document

10.1109/ISCMI.2016.48

Cite this

Sharghi, A., Baradarannia, M., & Hashemzadeh, F. (2017). Leader-Follower Fixed-Time Consensus for Multi-agent Systems with Heterogeneous Non-linear Inherent Dynamics. In Proceedings - 2016 3rd International Conference on Soft Computing and Machine Intelligence, ISCMI 2016 (pp. 224-228). Article 8057471 (Proceedings - 2016 3rd International Conference on Soft Computing and Machine Intelligence, ISCMI 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISCMI.2016.48

Sharghi, Akbar ; Baradarannia, Mahdi ; Hashemzadeh, Farzad. / Leader-Follower Fixed-Time Consensus for Multi-agent Systems with Heterogeneous Non-linear Inherent Dynamics. Proceedings - 2016 3rd International Conference on Soft Computing and Machine Intelligence, ISCMI 2016. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 224-228 (Proceedings - 2016 3rd International Conference on Soft Computing and Machine Intelligence, ISCMI 2016).

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title = "Leader-Follower Fixed-Time Consensus for Multi-agent Systems with Heterogeneous Non-linear Inherent Dynamics",

abstract = "In this paper the leader-follower fixed-time consensus of multi agent systems with non-linear inherent dynamics is investigated. The non-linear inherent dynamics for followers and leader are supposed to be different. A distributed control protocol is proposed based on fixed-time consensus and it is shown that the proposed method solves leader-following fixed-time consensus. Finally, simulations are performed to show the efficiency of the theoretical results.",

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author = "Akbar Sharghi and Mahdi Baradarannia and Farzad Hashemzadeh",

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doi = "10.1109/ISCMI.2016.48",

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Sharghi, A, Baradarannia, M & Hashemzadeh, F 2017, Leader-Follower Fixed-Time Consensus for Multi-agent Systems with Heterogeneous Non-linear Inherent Dynamics. in Proceedings - 2016 3rd International Conference on Soft Computing and Machine Intelligence, ISCMI 2016., 8057471, Proceedings - 2016 3rd International Conference on Soft Computing and Machine Intelligence, ISCMI 2016, Institute of Electrical and Electronics Engineers Inc., pp. 224-228, 3rd International Conference on Soft Computing and Machine Intelligence, ISCMI 2016, Dubai, United Arab Emirates, 23/11/16. https://doi.org/10.1109/ISCMI.2016.48

Leader-Follower Fixed-Time Consensus for Multi-agent Systems with Heterogeneous Non-linear Inherent Dynamics. / Sharghi, Akbar; Baradarannia, Mahdi ; Hashemzadeh, Farzad.
Proceedings - 2016 3rd International Conference on Soft Computing and Machine Intelligence, ISCMI 2016. Institute of Electrical and Electronics Engineers Inc., 2017. p. 224-228 8057471 (Proceedings - 2016 3rd International Conference on Soft Computing and Machine Intelligence, ISCMI 2016).

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

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PY - 2017/10/2

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AB - In this paper the leader-follower fixed-time consensus of multi agent systems with non-linear inherent dynamics is investigated. The non-linear inherent dynamics for followers and leader are supposed to be different. A distributed control protocol is proposed based on fixed-time consensus and it is shown that the proposed method solves leader-following fixed-time consensus. Finally, simulations are performed to show the efficiency of the theoretical results.

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KW - heterogeneous non-linear multi-agent systems

KW - leader-follower multi-agent

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M3 - Conference contribution

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BT - Proceedings - 2016 3rd International Conference on Soft Computing and Machine Intelligence, ISCMI 2016

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Sharghi A, Baradarannia M , Hashemzadeh F. Leader-Follower Fixed-Time Consensus for Multi-agent Systems with Heterogeneous Non-linear Inherent Dynamics. In Proceedings - 2016 3rd International Conference on Soft Computing and Machine Intelligence, ISCMI 2016. Institute of Electrical and Electronics Engineers Inc. 2017. p. 224-228. 8057471. (Proceedings - 2016 3rd International Conference on Soft Computing and Machine Intelligence, ISCMI 2016). doi: 10.1109/ISCMI.2016.48

Leader-Follower Fixed-Time Consensus for Multi-agent Systems with Heterogeneous Non-linear Inherent Dynamics

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Keywords

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