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Synchronization of networked Euler-Lagrange systems via set-ISS: A separation approach

  • Harbin Institute of Technology
  • City University of Hong Kong

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper we propose a novel approach to deal with synchronization of networked Euler-Lagrange systems separating local controller design from topology graphs. A specified consensus network is first constructed, where many existing consensus algorithms regardless of our node dynamics can be used. Subsequently, each Euler-Lagrange system is driven by a local controller designed together with the consensus network. In virtue of set input-to-state stability and taking the consensus manifold as a desired positively invariant set, we can handle the synchronization problem immediately without converting it into a simultaneous stabilization problem. Different from the distributed observer approach, the internal model principle is not employed here and thus we need not to solve a common solution pair to a set of regulator equations. In addition, one could focus on each local controller design independently to improve the network performance. To the best of our knowledge, our proposed approach generalizing many existing results is new and easier to be implemented.

Original languageEnglish
Title of host publicationProceedings of the 35th Chinese Control Conference, CCC 2016
EditorsJie Chen, Qianchuan Zhao, Jie Chen
PublisherIEEE Computer Society
Pages7616-7621
Number of pages6
ISBN (Electronic)9789881563910
DOIs
StatePublished - 26 Aug 2016
Event35th Chinese Control Conference, CCC 2016 - Chengdu, China
Duration: 27 Jul 201629 Jul 2016

Publication series

NameChinese Control Conference, CCC
Volume2016-August
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference35th Chinese Control Conference, CCC 2016
Country/TerritoryChina
CityChengdu
Period27/07/1629/07/16

Keywords

  • Euler-Lagrange Systems
  • Separation Design
  • Set Input-to-State Stability
  • Synchronization

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