Leader-following consensus of second-order nonlinear multi-agent systems subject to disturbances
In this study, we investigate the leader-following consensus problem of a class of heterogeneous secondorder nonlinear multi-agent systems subject to disturbances. In particular, the nonlinear systems contain uncertainties that can be linearly parameterized. We propose a class of novel distributed c...
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Published in | Frontiers of information technology & electronic engineering Vol. 20; no. 1; pp. 88 - 94 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Hangzhou
Zhejiang University Press
01.01.2019
Springer Nature B.V School of Automation, Beijing Institute of Technology, Beijing 100081, China%City University of Hong Kong Shenzhen Research Institute, Shenzhen 518057, China Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, China |
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Abstract | In this study, we investigate the leader-following consensus problem of a class of heterogeneous secondorder nonlinear multi-agent systems subject to disturbances. In particular, the nonlinear systems contain uncertainties that can be linearly parameterized. We propose a class of novel distributed control laws, which depends on the relative state of the system and thus can be implemented even when no communication among agents exists. By Barbalat’s lemma, we demonstrate that consensus of the second-order nonlinear multi-agent system can be achieved by the proposed distributed control law. The effectiveness of the main result is verified by its application to consensus control of a group of Van der Pol oscillators. |
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AbstractList | In this study, we investigate the leader-following consensus problem of a class of heterogeneous secondorder nonlinear multi-agent systems subject to disturbances. In particular, the nonlinear systems contain uncertainties that can be linearly parameterized. We propose a class of novel distributed control laws, which depends on the relative state of the system and thus can be implemented even when no communication among agents exists. By Barbalat’s lemma, we demonstrate that consensus of the second-order nonlinear multi-agent system can be achieved by the proposed distributed control law. The effectiveness of the main result is verified by its application to consensus control of a group of Van der Pol oscillators. TP182; In this study, we investigate the leader-following consensus problem of a class of heterogeneous secondorder nonlinear multi-agent systems subject to disturbances. In particular, the nonlinear systems contain uncertainties that can be linearly parameterized. We propose a class of novel distributed control laws, which depends on the relative state of the system and thus can be implemented even when no communication among agents exists. By Barbalat's lemma, we demonstrate that consensus of the second-order nonlinear multi-agent system can be achieved by the proposed distributed control law. The effectiveness of the main result is verified by its application to consensus control of a group of Van der Pol oscillators. |
Author | Lu, Mao-Bin Liu, Lu |
AuthorAffiliation | School of Automation, Beijing Institute of Technology, Beijing 100081, China%City University of Hong Kong Shenzhen Research Institute, Shenzhen 518057, China;Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, China |
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Cites_doi | 10.1109/TAC.2015.2426273 10.1002/rnc.3269 10.1007/s11768-016-6082-x 10.1109/TAC.2005.864190 10.1109/TAC.2004.834113 10.1016/j.physa.2006.08.015 10.1109/TAC.2003.812781 10.1016/j.automatica.2013.08.001 10.1016/j.automatica.2011.01.081 10.1109/TAC.2005.846556 10.1109/TIE.2017.2652394 10.1016/j.automatica.2013.04.040 10.1109/TNN.2010.2050601 10.1109/TAC.2011.2169618 10.1016/j.sysconle.2010.06.016 10.1002/rnc.3750 |
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Copyright | Zhejiang University and Springer-Verlag GmbH Germany, part of Springer Nature 2019 Zhejiang University and Springer-Verlag GmbH Germany, part of Springer Nature 2019. Copyright © Wanfang Data Co. Ltd. All Rights Reserved. |
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SubjectTerms | Communications Engineering Computer Hardware Computer Science Computer Systems Organization and Communication Networks Control theory Disturbances Electrical Engineering Electronics and Microelectronics Engineering Instrumentation Mathematical problems Multiagent systems Networks Nonlinear systems |
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