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Distributed Adaptive Finite-Time Consensus Control of Uncertain Nonlinear Systems with Event-Triggered Control Input

  • Zhen Han
  • , Zitong Bai
  • , Yutong Jiang
  • , Wei Wang
  • , Ke Bao
  • , Yue Zhou
  • , Wenbin Yue
  • China North Vehicle Research Institute
  • Beihang University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Distributed adaptive consensus control problem is investigated in this paper for a class of nonlinear systems with uncertainties and event-triggered control inputs. The system uncertainties are modeled as unknown parameters coupled with known smooth functions. Then adaptive parameters are introduced to estimate these unknown parameters online. To reduce the control frequency, an event-triggered mechanism is introduced. According to this event-triggered mechanism and adaptive laws, a distributed consensus controller is designed, such that consensus errors can converge to a specific compact set within a finite time interval. Simulation results are given to verify the correctness of this control scheme.

Original languageEnglish
Title of host publication2024 IEEE 19th Conference on Industrial Electronics and Applications, ICIEA 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350360868
DOIs
StatePublished - 2024
Event19th IEEE Conference on Industrial Electronics and Applications, ICIEA 2024 - Kristiansand, Norway
Duration: 5 Aug 20248 Aug 2024

Publication series

Name2024 IEEE 19th Conference on Industrial Electronics and Applications, ICIEA 2024

Conference

Conference19th IEEE Conference on Industrial Electronics and Applications, ICIEA 2024
Country/TerritoryNorway
CityKristiansand
Period5/08/248/08/24

Keywords

  • Adaptive control
  • Distributed consensus control
  • Finite-time control
  • Nonlinear system

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