Biologically Inspired Algorithm for Adaptive Convergence in Multi-Agent System

Muhammad Majid Gulzar, Muhammad Maaruf, Khalid Khan, Fahad Alismail, Muhammad Khalid

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

2 Scopus citations

Abstract

Numerical realization of optimal consensus control is important for multi-agent systems. In this study we formulate a nonlinear multi-agent system based on Cucker-Smale model and develop consensus control to resolve the dynamic problem of flocking. The validation of the framework is performed with random initial position and velocities considering two cases, that is, 5 and 13 birds. Based on the results obtained and presented for 40 iterations it is observed that the agent's position and velocities have successfully converged.

Original languageEnglish
Title of host publication2023 International Conference on Control, Automation and Diagnosis, ICCAD 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350347074
DOIs
StatePublished - 2023
Event2023 International Conference on Control, Automation and Diagnosis, ICCAD 2023 - Rome, Italy
Duration: 10 May 202312 May 2023

Publication series

Name2023 International Conference on Control, Automation and Diagnosis, ICCAD 2023

Conference

Conference2023 International Conference on Control, Automation and Diagnosis, ICCAD 2023
Country/TerritoryItaly
CityRome
Period10/05/2312/05/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

  • Consensus algorithm
  • Cucker-Smale model
  • Flocking
  • Multi-agent systems
  • Non-linear systems

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Control and Systems Engineering
  • Safety, Risk, Reliability and Quality
  • Control and Optimization

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