Output consensus design for heterogeneous nonlinear multi-agent systems with application to smart grids

Dinh Hoa Nguyen; Tatsuo Narikiyo; Michihiro Kawanishi

doi:10.1109/CDC.2015.7402781

Output consensus design for heterogeneous nonlinear multi-agent systems with application to smart grids

Dinh Hoa Nguyen, Tatsuo Narikiyo, Michihiro Kawanishi

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

3 Citations (Scopus)

Abstract

This paper presents a systematic design approach for output consensus in a class of heterogeneous uncertain nonlinear multi-agent systems (MASs). By employing a feedback linearization technique, the output consensus problem of heterogeneous nonlinear MASs can be recast as a state consensus problem for homogeneous linear MASs. Consequently, a sub-optimal consensus design for linear MASs is presented to provide a constructive method for solving the initial output consensus problem in heterogeneous nonlinear MASs. Finally, the proposed approach is verified through a secondary voltage control problem in smart grids revealing its effectiveness.

Original language	English
Title of host publication	54rd IEEE Conference on Decision and Control,CDC 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	3627-3632
Number of pages	6
ISBN (Electronic)	9781479978861
DOIs	https://doi.org/10.1109/CDC.2015.7402781
Publication status	Published - Feb 8 2015
Externally published	Yes
Event	54th IEEE Conference on Decision and Control, CDC 2015 - Osaka, Japan Duration: Dec 15 2015 → Dec 18 2015

Publication series

Name	Proceedings of the IEEE Conference on Decision and Control
Volume	54rd IEEE Conference on Decision and Control,CDC 2015
ISSN (Print)	0743-1546

Other

Other	54th IEEE Conference on Decision and Control, CDC 2015
Country/Territory	Japan
City	Osaka
Period	12/15/15 → 12/18/15

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
Modelling and Simulation
Control and Optimization

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/CDC.2015.7402781

Cite this

Nguyen, D. H., Narikiyo, T., & Kawanishi, M. (2015). Output consensus design for heterogeneous nonlinear multi-agent systems with application to smart grids. In 54rd IEEE Conference on Decision and Control,CDC 2015 (pp. 3627-3632). [7402781] (Proceedings of the IEEE Conference on Decision and Control; Vol. 54rd IEEE Conference on Decision and Control,CDC 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CDC.2015.7402781

Output consensus design for heterogeneous nonlinear multi-agent systems with application to smart grids. / Nguyen, Dinh Hoa; Narikiyo, Tatsuo; Kawanishi, Michihiro.

54rd IEEE Conference on Decision and Control,CDC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 3627-3632 7402781 (Proceedings of the IEEE Conference on Decision and Control; Vol. 54rd IEEE Conference on Decision and Control,CDC 2015).

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

Nguyen, DH, Narikiyo, T & Kawanishi, M 2015, Output consensus design for heterogeneous nonlinear multi-agent systems with application to smart grids. in 54rd IEEE Conference on Decision and Control,CDC 2015., 7402781, Proceedings of the IEEE Conference on Decision and Control, vol. 54rd IEEE Conference on Decision and Control,CDC 2015, Institute of Electrical and Electronics Engineers Inc., pp. 3627-3632, 54th IEEE Conference on Decision and Control, CDC 2015, Osaka, Japan, 12/15/15. https://doi.org/10.1109/CDC.2015.7402781

Nguyen DH, Narikiyo T, Kawanishi M. Output consensus design for heterogeneous nonlinear multi-agent systems with application to smart grids. In 54rd IEEE Conference on Decision and Control,CDC 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 3627-3632. 7402781. (Proceedings of the IEEE Conference on Decision and Control). https://doi.org/10.1109/CDC.2015.7402781

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Output consensus design for heterogeneous nonlinear multi-agent systems with application to smart grids

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