A distributed optimization algorithm based on dynamic event triggered control
DOI:
Author:
Affiliation:

nanjing university of information science and technology

Clc Number:

Fund Project:

National key R & D plan fast access networking and control technology in offshore area(2018YFC1405703),Jiangsu Natural Science Foundation Project(BK20200824);Talent start-up funding of Nanjing University of Information Science and Technology(2019r082)

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    Aiming at the optimization problem of multi-agent systems, a distributed optimization algorithm based on dynamic event triggered mechanism is proposed in this paper. A new dynamic event triggered controller is designed based on Lyapunov function method. Compared with the traditional static triggered control methods, the proposed algorithm can effectively reduce the communication burden between agents and the calculation burden of controllers. In addition, as the periodic sampling information is used to design the event triggered condition, it is unrequired to continuously detect the event triggered condition. Moreover, Zeno behavior can be avoided. The effectiveness of the algorithm is verified by a numerical simulation.

    Reference
    Related
    Cited by
Get Citation
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:December 30,2021
  • Revised:February 24,2022
  • Adopted:February 25,2022
  • Online:
  • Published:

Address:No. 219, Ningliu Road, Nanjing, Jiangsu Province

Postcode:210044

Phone:025-58731025