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Decentralized adaptive tracking with one-step-guess estimator

  • Beijing Institute of Technology
  • University of Plymouth

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

摘要

Decentralized adaptive tracking problem for a simple yet typical discrete-time multi-agent system is investigated, where each agent is affected by its neighborhood agents with unknown interaction strength. In this paper, for the purpose of decentralized adaptive tracking, all agents are supposed to be smart enough with limited intelligence such that they can adopt the most simple one-step-guess (OSG) algorithm to estimate the unknown interaction strength and then design local adaptive controllers with the certainty-equivalence principle. The whole closed-loop system is shown to be rather complex and it has been shown that, under some mild conditions, the closed-loop stability is established in the case of bounded noise, while asymptotic tracking can be established in the case of diminishing noise. Extensive simulations verified correctness of theoretical results.

源语言英语
主期刊名2011 9th IEEE International Conference on Control and Automation, ICCA 2011
页1320-1325
页数6
DOI
出版状态已出版 - 2011
活动9th IEEE International Conference on Control and Automation, ICCA 2011 - Santiago, 智利
期限: 19 12月 2011 → 21 12月 2011

丛书

姓名IEEE International Conference on Control and Automation, ICCA
ISSN(印刷版)1948-3449
ISSN(电子版)1948-3457

会议

会议9th IEEE International Conference on Control and Automation, ICCA 2011
国家/地区智利
市Santiago
时期19/12/11 → 21/12/11

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