Consensus and Phase Synchronization of Multi-agent Systems using Adaptive Models

Muhammad Majid Gulzar; Muhammad Munaward; Adnan Shakoor; Huma Tahreem

doi:10.1109/DASC/PiCom/CBDCom/Cy59711.2023.10361420

Consensus and Phase Synchronization of Multi-agent Systems using Adaptive Models

Muhammad Majid Gulzar^*, Muhammad Munaward, Adnan Shakoor, Huma Tahreem

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

In this paper, an adaptive models for the consensus and phase synchronization of coupled oscillators have been implemented. By using these models, consensus can be achieved by using different graph topologies, in which agents are converged to their average velocity within the minimum number of iterations. Moreover, the phase synchronization of coupled oscillators interacting on connected graphs is also addressed. The synchronization shows that all coupled oscillators can synchronized their position and velocity with respect to neighboring agents. In the end, the simulations of consensus and phase synchronization validate the theoretical results.

Original language	English
Title of host publication	2023 IEEE International Conference on Dependable, Autonomic and Secure Computing, International Conference on Pervasive Intelligence and Computing, International Conference on Cloud and Big Data Computing, International Conference on Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	820-824
Number of pages	5
ISBN (Electronic)	9798350304602
DOIs	https://doi.org/10.1109/DASC/PiCom/CBDCom/Cy59711.2023.10361420
State	Published - 2023
Event	2023 IEEE International Conference on Dependable, Autonomic and Secure Computing, 2023 International Conference on Pervasive Intelligence and Computing, 2023 International Conference on Cloud and Big Data Computing, 2023 International Conference on Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2023 - Abu Dhabi, United Arab Emirates Duration: 14 Nov 2023 → 17 Nov 2023

Publication series

Name	2023 IEEE International Conference on Dependable, Autonomic and Secure Computing, International Conference on Pervasive Intelligence and Computing, International Conference on Cloud and Big Data Computing, International Conference on Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2023

Conference

Conference	2023 IEEE International Conference on Dependable, Autonomic and Secure Computing, 2023 International Conference on Pervasive Intelligence and Computing, 2023 International Conference on Cloud and Big Data Computing, 2023 International Conference on Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2023
Country/Territory	United Arab Emirates
City	Abu Dhabi
Period	14/11/23 → 17/11/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

Adaptive Models
Consensus
Coupled Oscillators
Multi-agent
Phase Synchronization

ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Hardware and Architecture
Information Systems
Information Systems and Management
Safety, Risk, Reliability and Quality
Control and Optimization

Access to Document

10.1109/DASC/PiCom/CBDCom/Cy59711.2023.10361420

Cite this

Gulzar, M. M., Munaward, M., Shakoor, A., & Tahreem, H. (2023). Consensus and Phase Synchronization of Multi-agent Systems using Adaptive Models. In 2023 IEEE International Conference on Dependable, Autonomic and Secure Computing, International Conference on Pervasive Intelligence and Computing, International Conference on Cloud and Big Data Computing, International Conference on Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2023 (pp. 820-824). (2023 IEEE International Conference on Dependable, Autonomic and Secure Computing, International Conference on Pervasive Intelligence and Computing, International Conference on Cloud and Big Data Computing, International Conference on Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DASC/PiCom/CBDCom/Cy59711.2023.10361420

Gulzar, Muhammad Majid ; Munaward, Muhammad ; Shakoor, Adnan et al. / Consensus and Phase Synchronization of Multi-agent Systems using Adaptive Models. 2023 IEEE International Conference on Dependable, Autonomic and Secure Computing, International Conference on Pervasive Intelligence and Computing, International Conference on Cloud and Big Data Computing, International Conference on Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2023. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 820-824 (2023 IEEE International Conference on Dependable, Autonomic and Secure Computing, International Conference on Pervasive Intelligence and Computing, International Conference on Cloud and Big Data Computing, International Conference on Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2023).

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booktitle = "2023 IEEE International Conference on Dependable, Autonomic and Secure Computing, International Conference on Pervasive Intelligence and Computing, International Conference on Cloud and Big Data Computing, International Conference on Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2023",

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Gulzar, MM, Munaward, M, Shakoor, A & Tahreem, H 2023, Consensus and Phase Synchronization of Multi-agent Systems using Adaptive Models. in 2023 IEEE International Conference on Dependable, Autonomic and Secure Computing, International Conference on Pervasive Intelligence and Computing, International Conference on Cloud and Big Data Computing, International Conference on Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2023. 2023 IEEE International Conference on Dependable, Autonomic and Secure Computing, International Conference on Pervasive Intelligence and Computing, International Conference on Cloud and Big Data Computing, International Conference on Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2023, Institute of Electrical and Electronics Engineers Inc., pp. 820-824, 2023 IEEE International Conference on Dependable, Autonomic and Secure Computing, 2023 International Conference on Pervasive Intelligence and Computing, 2023 International Conference on Cloud and Big Data Computing, 2023 International Conference on Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2023, Abu Dhabi, United Arab Emirates, 14/11/23. https://doi.org/10.1109/DASC/PiCom/CBDCom/Cy59711.2023.10361420

Consensus and Phase Synchronization of Multi-agent Systems using Adaptive Models. / Gulzar, Muhammad Majid; Munaward, Muhammad; Shakoor, Adnan et al.
2023 IEEE International Conference on Dependable, Autonomic and Secure Computing, International Conference on Pervasive Intelligence and Computing, International Conference on Cloud and Big Data Computing, International Conference on Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 820-824 (2023 IEEE International Conference on Dependable, Autonomic and Secure Computing, International Conference on Pervasive Intelligence and Computing, International Conference on Cloud and Big Data Computing, International Conference on Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - In this paper, an adaptive models for the consensus and phase synchronization of coupled oscillators have been implemented. By using these models, consensus can be achieved by using different graph topologies, in which agents are converged to their average velocity within the minimum number of iterations. Moreover, the phase synchronization of coupled oscillators interacting on connected graphs is also addressed. The synchronization shows that all coupled oscillators can synchronized their position and velocity with respect to neighboring agents. In the end, the simulations of consensus and phase synchronization validate the theoretical results.

AB - In this paper, an adaptive models for the consensus and phase synchronization of coupled oscillators have been implemented. By using these models, consensus can be achieved by using different graph topologies, in which agents are converged to their average velocity within the minimum number of iterations. Moreover, the phase synchronization of coupled oscillators interacting on connected graphs is also addressed. The synchronization shows that all coupled oscillators can synchronized their position and velocity with respect to neighboring agents. In the end, the simulations of consensus and phase synchronization validate the theoretical results.

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M3 - Conference contribution

AN - SCOPUS:85182592985

T3 - 2023 IEEE International Conference on Dependable, Autonomic and Secure Computing, International Conference on Pervasive Intelligence and Computing, International Conference on Cloud and Big Data Computing, International Conference on Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2023

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BT - 2023 IEEE International Conference on Dependable, Autonomic and Secure Computing, International Conference on Pervasive Intelligence and Computing, International Conference on Cloud and Big Data Computing, International Conference on Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 IEEE International Conference on Dependable, Autonomic and Secure Computing, 2023 International Conference on Pervasive Intelligence and Computing, 2023 International Conference on Cloud and Big Data Computing, 2023 International Conference on Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2023

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Gulzar MM, Munaward M, Shakoor A, Tahreem H. Consensus and Phase Synchronization of Multi-agent Systems using Adaptive Models. In 2023 IEEE International Conference on Dependable, Autonomic and Secure Computing, International Conference on Pervasive Intelligence and Computing, International Conference on Cloud and Big Data Computing, International Conference on Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 820-824. (2023 IEEE International Conference on Dependable, Autonomic and Secure Computing, International Conference on Pervasive Intelligence and Computing, International Conference on Cloud and Big Data Computing, International Conference on Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2023). doi: 10.1109/DASC/PiCom/CBDCom/Cy59711.2023.10361420

Consensus and Phase Synchronization of Multi-agent Systems using Adaptive Models

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this