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Tracking problem under a time-varying topology
  • 期刊名称:Chinese Physiscs B
  • 时间:2014
  • 页码:-
  • 分类:TP13[自动化与计算机技术—控制科学与工程;自动化与计算机技术—控制理论与控制工程] TP393.1[自动化与计算机技术—计算机应用技术;自动化与计算机技术—计算机科学与技术]
  • 作者机构:[1]school of Automation, Beijing Institute of Technology, Beijing 100081, China, [2]The Department of Electrical and Computer Engineering, The University of Auckland, Private Bag, 92019 Auckland, New Zealand
  • 相关基金:Project supported by the National Natural Science Foundation of China (Grant No. 61104086), the Scientific Research, Postgraduate Training Joint-Build Project (Grant No. 20120639002), and the China Scholarship Council (Grant No. 201306030027).
  • 相关项目:无舵面飞行器的射流控制技术研究
中文摘要:

This paper studies the multi-agent tracking problem of a third-order maneuvering target under uncertain communication environments. Each tracking agent is assumed to be a third-order system and can only use its own and neighbors’ position, velocity, and acceleration information to design its control input. In this work, the uncertain communication environments are modelled by a finite number of constant Laplacian matrices together with their corresponding scheduling functions. Sufficient conditions for the existence of a tracking strategy have been expressed in terms of the solvability of linear matrix inequalities. Finally, a numerical example is employed to demonstrate the effectiveness of the proposed tracking strategy.

英文摘要:

This paper studies the multi-agent tracking problem of a third-order maneuvering target under uncertain communication environments. Each tracking agent is assumed to be a third-order system and can only use its own and neighbors' position, velocity, and acceleration information to design its control input. In this work, the uncertain communication environments are modelled by a finite number of constant Laplacian matrices together with their corresponding scheduling functions. Sufficient conditions for the existence of a tracking strategy have been expressed in terms of the solvability of linear matrix inequalities. Finally, a numerical example is employed to demonstrate the effectiveness of the proposed tracking strategy.

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