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Event-triggered distributed optimization for multi-agent systems with quantization and disturbance rejection

  • Shanshan Qi
  • , Zhiqiang Zhang*
  • , Fei Hao
  • , Zehuan Lu
  • , Yuangong Sun
  • *此作品的通讯作者
  • University of Jinan

科研成果: 期刊稿件文章同行评审

摘要

In this paper, adaptive continuous-time algorithms with event-triggered mechanism are studied to solve the optimization problem. First, an event-triggered adaptive algorithm is introduced, and it is proven that this algorithm can effectively solve the optimization problem. Second, to solve the optimization problem, two event-triggered algorithms are proposed, one considering uniform quantization information and the other addressing external disturbances. It is demonstrated that the states of the multi-agent systems practically converge to the global optimal point. Three numerical cases demonstrate the effectiveness of the relevant results.

源语言英语
文章编号dnag001
期刊IMA Journal of Mathematical Control and Information
43
1
DOI
出版状态已出版 - 1 3月 2026

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