期刊文献+

Rigidity based formation tracking for multi-agent networks

Rigidity based formation tracking for multi-agent networks
下载PDF
导出
摘要 This paper considers the formation tracking problem under a rigidity framework, where the target formation is specified as a minimally and infinitesimally rigid formation and the desired velocity of the group is available to only a subset of the agents. The following two cases are considered: the desired velocity is constant, and the desired velocity is timevarying. In the first case, a distributed linear estimator is constructed for each agent to estimate the desired velocity. The velocity estimation and a formation acquisition term are employed to design the control inputs for the agents, where the rigidity matrix plays a central role. In the second case, a distributed non-smooth estimator is constructed to estimate the time-varying velocity, which is shown to converge in a finite time. Theoretical analysis shows that the formation tracking problem can be solved under the proposed control algorithms and estimators. Simulation results are also provided to show the validity of the derived results. This paper considers the formation tracking problem under a rigidity framework, where the target formation is specified as a minimally and infinitesimally rigid formation and the desired velocity of the group is available to only a subset of the agents. The following two cases are considered: the desired velocity is constant, and the desired velocity is timevarying. In the first case, a distributed linear estimator is constructed for each agent to estimate the desired velocity. The velocity estimation and a formation acquisition term are employed to design the control inputs for the agents, where the rigidity matrix plays a central role. In the second case, a distributed non-smooth estimator is constructed to estimate the time-varying velocity, which is shown to converge in a finite time. Theoretical analysis shows that the formation tracking problem can be solved under the proposed control algorithms and estimators. Simulation results are also provided to show the validity of the derived results.
出处 《Chinese Physics B》 SCIE EI CAS CSCD 2015年第9期62-67,共6页 中国物理B(英文版)
基金 Project supported by the National Natural Science Foundation of China(Grant No.61473240)
关键词 multi-agent system formation control graph rigidity distributed estimator multi-agent system,formation control,graph rigidity,distributed estimator
  • 相关文献

参考文献22

  • 1Anderson B D O, Yu C, Fidan B and Hendrickx J 2008 IEEE Contr.Syst. Mag. 28 48.
  • 2Chen F, Chen Z, Xiang L Y, Liu Z and Yuan Z 2009 Automatica 45 1215.
  • 3Su H, Chen M Z Q, Wang X and Lam J 2014 IEEE T. Ind. Electron. 61 2842.
  • 4Ji L and Liao X 2013 Chin. Phys. B 22 040203.
  • 5Bai L, Chen F and Lan W 2014 Proceedings of 2014 Chinese Control Conference, July 28-30, 2014, Nanjing, China, p. 1288.
  • 6Oh K K and Ahn H S 2011 Automatica 47 2306.
  • 7Cai X and de Queiroz M 2013 Proceedings of the IEEE American Control Conference, June 17-19, 2013, Washington, DC, USA, p. 2521.
  • 8Cao Y, Ren W and Meng Z 2010 Syst. Control Lett. 59 522.
  • 9Chen F, Cao Y and Ren W 2012 IEEE T. Automat. Contr. 57 3169.
  • 10Reza O S 2006 IEEE T. Automat. Contr. 51 401.

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部