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Robust Cooperative Optimal Sliding-Mode Control for High-Order Nonlinear Systems: Directed Topologies

  • Zhuo Zhang
  • , Yang Shi
  • , Shouxu Zhang
  • , Zexu Zhang
  • , Weisheng Yan
  • Northwestern Polytechnical University Xian
  • University of Victoria BC
  • School of Astronautics, Harbin Institute of Technology

Research output: Contribution to journalArticlepeer-review

24 Scopus citations

Abstract

This article is concerned with the robust cooperative optimal control of nonlinear multiagent systems (MASs) with external disturbances and modeling uncertainties. Using the super-twisting algorithm, a continuous sliding-mode control protocol is presented for high-order nonlinear MASs with multiple inputs. The sliding-mode dynamics is modeled by the Takagi-Sugeno fuzzy approach, and the nominal control protocol that guarantees the robust optimization of the cost function is designed. Directed topologies are allowed using the presented protocol, and many assumptions about topologies are removed. Finally, three numerical examples are reported to demonstrate the effectiveness and improved performance of the presented protocol.

Original languageEnglish
Pages (from-to)5535-5547
Number of pages13
JournalIEEE Transactions on Cybernetics
Volume52
Issue number6
DOIs
StatePublished - 1 Jun 2022

Keywords

  • Continuous sliding-mode control (SMC)
  • TakagiâSugeno (Tâ"S) fuzzy approach
  • directed topologies
  • multiagent systems (MASs)
  • robust optimization

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