On Prescribed Performance Synchronization to QUAD Nonlinear Multi-Agent Networks

Ming Zhe Dai, Choon Ki Ahn, Chengxi Zhang, Caisheng Wei, Jin Wu

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


This brief studies the synchronization problem of nonlinear multi-agent systems (MASs) with the quadratic condition (QUAD-condition) via prescribed performance control (PPC), where a novel performance function is employed that can configure the convergence rate arbitrarily. With the designed protocol, all relative states' evolution is within the preset performance envelopes, and the system achieves state synchronization asymptotically. In comparison with the existing studies, we first investigate the coordinated control of QUAD nonlinear MASs with prescribed trajectory behaviors. Moreover, the convergence rate of the proposed performance constraint function can be selected arbitrarily, which has better versatility. Simulations on coupled chaotic circuit networks verify the theoretical results.

Original languageEnglish
Pages (from-to)1377-1381
Number of pages5
JournalIEEE Transactions on Circuits and Systems II: Express Briefs
Issue number3
Publication statusPublished - 2022 Mar 1


  • Nonlinear multi-agent systems
  • Prescribed performance control
  • Relative states
  • Synchronization

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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