Consensus of multi-agent nonlinear systems by directed interactions: An internal model approach

Dabo Xu; Xinghu Wang; Yiguang Hong; Zhong Ping Jiang

doi:10.1109/WCICA.2014.7053129

Consensus of multi-agent nonlinear systems by directed interactions: An internal model approach

Dabo Xu, Xinghu Wang, Yiguang Hong, Zhong Ping Jiang

Electrical and Computer Engineering

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

Abstract

This paper considers a global robust output consensus problem for multi-agent nonlinear systems by general directed output interactions. For heterogeneous and minimum-phase nonlinear agents transformable into an output-feedback form, it is shown that the problem is solvable by an internal model approach under certain mild conditions. A dynamic output-feedback protocol is developed by converting the output consensus into a distributed stabilization of an augmented dynamic network.

Original language	English (US)
Title of host publication	Proceeding of the 11th World Congress on Intelligent Control and Automation, WCICA 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2567-2571
Number of pages	5
Edition	March
ISBN (Electronic)	9781479958252
DOIs	https://doi.org/10.1109/WCICA.2014.7053129
State	Published - Mar 2 2015
Event	2014 11th World Congress on Intelligent Control and Automation, WCICA 2014 - Shenyang, China Duration: Jun 29 2014 → Jul 4 2014

Publication series

Name	Proceedings of the World Congress on Intelligent Control and Automation (WCICA)
Number	March
Volume	2015-March

Other

Other	2014 11th World Congress on Intelligent Control and Automation, WCICA 2014
Country/Territory	China
City	Shenyang
Period	6/29/14 → 7/4/14

Keywords

Directed interactions
Multi-agent systems
Output consensus

ASJC Scopus subject areas

Control and Systems Engineering
Software
Computer Science Applications

Access to Document

10.1109/WCICA.2014.7053129

Cite this

Xu, D., Wang, X., Hong, Y., & Jiang, Z. P. (2015). Consensus of multi-agent nonlinear systems by directed interactions: An internal model approach. In Proceeding of the 11th World Congress on Intelligent Control and Automation, WCICA 2014 (March ed., pp. 2567-2571). Article 7053129 (Proceedings of the World Congress on Intelligent Control and Automation (WCICA); Vol. 2015-March, No. March). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WCICA.2014.7053129

Consensus of multi-agent nonlinear systems by directed interactions: An internal model approach. / Xu, Dabo; Wang, Xinghu; Hong, Yiguang et al.
Proceeding of the 11th World Congress on Intelligent Control and Automation, WCICA 2014. March. ed. Institute of Electrical and Electronics Engineers Inc., 2015. p. 2567-2571 7053129 (Proceedings of the World Congress on Intelligent Control and Automation (WCICA); Vol. 2015-March, No. March).

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

Xu, D, Wang, X, Hong, Y & Jiang, ZP 2015, Consensus of multi-agent nonlinear systems by directed interactions: An internal model approach. in Proceeding of the 11th World Congress on Intelligent Control and Automation, WCICA 2014. March edn, 7053129, Proceedings of the World Congress on Intelligent Control and Automation (WCICA), no. March, vol. 2015-March, Institute of Electrical and Electronics Engineers Inc., pp. 2567-2571, 2014 11th World Congress on Intelligent Control and Automation, WCICA 2014, Shenyang, China, 6/29/14. https://doi.org/10.1109/WCICA.2014.7053129

Xu D, Wang X, Hong Y, Jiang ZP. Consensus of multi-agent nonlinear systems by directed interactions: An internal model approach. In Proceeding of the 11th World Congress on Intelligent Control and Automation, WCICA 2014. March ed. Institute of Electrical and Electronics Engineers Inc. 2015. p. 2567-2571. 7053129. (Proceedings of the World Congress on Intelligent Control and Automation (WCICA); March). doi: 10.1109/WCICA.2014.7053129

Xu, Dabo ; Wang, Xinghu ; Hong, Yiguang et al. / Consensus of multi-agent nonlinear systems by directed interactions : An internal model approach. Proceeding of the 11th World Congress on Intelligent Control and Automation, WCICA 2014. March. ed. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 2567-2571 (Proceedings of the World Congress on Intelligent Control and Automation (WCICA); March).

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Consensus of multi-agent nonlinear systems by directed interactions: An internal model approach

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Keywords

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