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  • 标题:A new consensus-based formation tracking scheme for a class of robotic systems using negative imaginary property
  • 本地全文:下载
  • 作者:Parijat Bhowmick ; Arijit Ganguly ; Sawan Sen
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2022
  • 卷号:55
  • 期号:1
  • 页码:685-690
  • DOI:10.1016/j.ifacol.2022.04.112
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis brief proposes a consensus-based formation tracking scheme for multi-robot systems utilising the Negative Imaginary (NI) theory. The proposed scheme applies to a class of networked robotic systems that can be modelled as a group of single integrator agents with stable uncertainties connected via an undirected graph. NI/SNI property of networked agents facilitates the design of a distributed Strictly Negative Imaginary (SNI) controller to achieve the desired formation tracking. A new theoretical proof of asymptotic convergence of the formation tracking trajectories is derived based on the integral controllability of networked NI/SNI systems. The proposed scheme is an alternative to the conventional Lyapunov-based formation tracking schemes. It offers robustness to NI/SNI-type model uncertainties and fault-tolerance to a sudden loss of robots due to hardware/communication fault. The feasibility and usefulness of the proposed formation tracking scheme were validated by lab-based real-time hardware experiments involving miniature, two-wheeled mobile robots.
  • 关键词:KeywordsNegative imaginary systemsIntegral controllabilityEigenvalue lociFormation trackingMulti-robot systemsFault-tolerance
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