Fast finite-time consensus tracking for first-order multi-agent systems with unmodelled dynamics and disturbances
In this paper, we study fast finite-time consensus tracking problem for a class of first-order multi-agent systems with unmodelled dynamics and unknown disturbances. A continuous control law is proposed to guarantee fast finite-time consensus tracking of a desired signal despite of uncertainties and...
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sg-ntu-dr.10356-1030872020-03-07T13:24:51Z Fast finite-time consensus tracking for first-order multi-agent systems with unmodelled dynamics and disturbances Sun, Chao Hu, Guoqiang Xie, Lihua School of Electrical and Electronic Engineering 11th IEEE International Conference on Control & Automation (ICCA) DRNTU::Engineering::Electrical and electronic engineering::Electronic systems In this paper, we study fast finite-time consensus tracking problem for a class of first-order multi-agent systems with unmodelled dynamics and unknown disturbances. A continuous control law is proposed to guarantee fast finite-time consensus tracking of a desired signal despite of uncertainties and disturbances in the system dynamics. Sufficient conditions for finite-time consensus tracking are established by using Lyapunov analysis methods. A numerical example is provided to show the effectiveness of the proposed algorithm. Accepted version 2015-06-04T01:37:58Z 2019-12-06T21:05:18Z 2015-06-04T01:37:58Z 2019-12-06T21:05:18Z 2014 2014 Conference Paper Sun, C., Hu, G., & Xie, L. (2014). Fast finite-time consensus tracking for first-order multi-agent systems with unmodelled dynamics and disturbances. Proceedings of 2014 11th IEEE International Conference on Control and Automation (ICCA), 249-254. https://hdl.handle.net/10356/103087 http://hdl.handle.net/10220/25743 10.1109/ICCA.2014.6870928 en © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [http://dx.doi.org/10.1109/ICCA.2014.6870928]. 6 p. application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering::Electronic systems Sun, Chao Hu, Guoqiang Xie, Lihua Fast finite-time consensus tracking for first-order multi-agent systems with unmodelled dynamics and disturbances |
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In this paper, we study fast finite-time consensus tracking problem for a class of first-order multi-agent systems with unmodelled dynamics and unknown disturbances. A continuous control law is proposed to guarantee fast finite-time consensus tracking of a desired signal despite of uncertainties and disturbances in the system dynamics. Sufficient conditions for finite-time consensus tracking are established by using Lyapunov analysis methods. A numerical example is provided to show the effectiveness of the proposed algorithm. |
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School of Electrical and Electronic Engineering |
author_facet |
School of Electrical and Electronic Engineering Sun, Chao Hu, Guoqiang Xie, Lihua |
format |
Conference or Workshop Item |
author |
Sun, Chao Hu, Guoqiang Xie, Lihua |
author_sort |
Sun, Chao |
title |
Fast finite-time consensus tracking for first-order multi-agent systems with unmodelled dynamics and disturbances |
title_short |
Fast finite-time consensus tracking for first-order multi-agent systems with unmodelled dynamics and disturbances |
title_full |
Fast finite-time consensus tracking for first-order multi-agent systems with unmodelled dynamics and disturbances |
title_fullStr |
Fast finite-time consensus tracking for first-order multi-agent systems with unmodelled dynamics and disturbances |
title_full_unstemmed |
Fast finite-time consensus tracking for first-order multi-agent systems with unmodelled dynamics and disturbances |
title_sort |
fast finite-time consensus tracking for first-order multi-agent systems with unmodelled dynamics and disturbances |
publishDate |
2015 |
url |
https://hdl.handle.net/10356/103087 http://hdl.handle.net/10220/25743 |
_version_ |
1681044382062477312 |