Consensus Tracking of Multi-Agent Systems in The Presence of Byzantine Agents Using Model Predictive Control

Mohammad Amin Rezaei; Peyman Bagheri; Farzad Hashemzadeh

doi:10.1109/ICCIA54998.2022.9737185

Consensus Tracking of Multi-Agent Systems in The Presence of Byzantine Agents Using Model Predictive Control

Mohammad Amin Rezaei
, Peyman Bagheri
, Farzad Hashemzadeh

University of Tabriz

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

4 Citations (Scopus)

Abstract

This paper deals with the consensus tracking of multi-agent systems in the presence of some Byzantine agents. Steering the agents toward a predefined reference via model predictive control and, besides, encountering the misbehaving agents, are the main aims of the paper. Using graph properties alongside the Weighted-Mean-Subsequence-Reduced (W-MSR) algorithm led to a control method for special kinds of multi-agent systems. Combining model predictive control with W-MSR results in a new algorithm called Reference-Based-W-MSR (RBW-MSR), which has made the consensus point fixed according to a predetermined reference. The effectiveness of the proposed algorithm would be illustrated via simulation results in which different scenarios have been examined to exhibit the success of the method.

Original language	English
Title of host publication	2022 8th International Conference on Control, Instrumentation and Automation, ICCIA 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665495691
DOIs	https://doi.org/10.1109/ICCIA54998.2022.9737185
Publication status	Published - 2022
Externally published	Yes
Event	8th International Conference on Control, Instrumentation and Automation, ICCIA 2022 - Virtual, Online, Iran, Islamic Republic of Duration: 2 Mar 2022 → 3 Mar 2022

Publication series

Name	2022 8th International Conference on Control, Instrumentation and Automation, ICCIA 2022

Conference

Conference	8th International Conference on Control, Instrumentation and Automation, ICCIA 2022
Country/Territory	Iran, Islamic Republic of
City	Virtual, Online
Period	2/03/22 → 3/03/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

Byzantine agent
Consensus Tracking
Model Predictive Control
Multi-Agent Systems
W-MSR Algorithm

Access to Document

10.1109/ICCIA54998.2022.9737185

Cite this

Rezaei, M. A., Bagheri, P., & Hashemzadeh, F. (2022). Consensus Tracking of Multi-Agent Systems in The Presence of Byzantine Agents Using Model Predictive Control. In 2022 8th International Conference on Control, Instrumentation and Automation, ICCIA 2022 (2022 8th International Conference on Control, Instrumentation and Automation, ICCIA 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCIA54998.2022.9737185

Rezaei, Mohammad Amin ; Bagheri, Peyman ; Hashemzadeh, Farzad. / Consensus Tracking of Multi-Agent Systems in The Presence of Byzantine Agents Using Model Predictive Control. 2022 8th International Conference on Control, Instrumentation and Automation, ICCIA 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 8th International Conference on Control, Instrumentation and Automation, ICCIA 2022).

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abstract = "This paper deals with the consensus tracking of multi-agent systems in the presence of some Byzantine agents. Steering the agents toward a predefined reference via model predictive control and, besides, encountering the misbehaving agents, are the main aims of the paper. Using graph properties alongside the Weighted-Mean-Subsequence-Reduced (W-MSR) algorithm led to a control method for special kinds of multi-agent systems. Combining model predictive control with W-MSR results in a new algorithm called Reference-Based-W-MSR (RBW-MSR), which has made the consensus point fixed according to a predetermined reference. The effectiveness of the proposed algorithm would be illustrated via simulation results in which different scenarios have been examined to exhibit the success of the method.",

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year = "2022",

doi = "10.1109/ICCIA54998.2022.9737185",

language = "English",

series = "2022 8th International Conference on Control, Instrumentation and Automation, ICCIA 2022",

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Rezaei, MA, Bagheri, P & Hashemzadeh, F 2022, Consensus Tracking of Multi-Agent Systems in The Presence of Byzantine Agents Using Model Predictive Control. in 2022 8th International Conference on Control, Instrumentation and Automation, ICCIA 2022. 2022 8th International Conference on Control, Instrumentation and Automation, ICCIA 2022, Institute of Electrical and Electronics Engineers Inc., 8th International Conference on Control, Instrumentation and Automation, ICCIA 2022, Virtual, Online, Iran, Islamic Republic of, 2/03/22. https://doi.org/10.1109/ICCIA54998.2022.9737185

Consensus Tracking of Multi-Agent Systems in The Presence of Byzantine Agents Using Model Predictive Control. / Rezaei, Mohammad Amin; Bagheri, Peyman; Hashemzadeh, Farzad.
2022 8th International Conference on Control, Instrumentation and Automation, ICCIA 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 8th International Conference on Control, Instrumentation and Automation, ICCIA 2022).

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

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AU - Bagheri, Peyman

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PY - 2022

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N2 - This paper deals with the consensus tracking of multi-agent systems in the presence of some Byzantine agents. Steering the agents toward a predefined reference via model predictive control and, besides, encountering the misbehaving agents, are the main aims of the paper. Using graph properties alongside the Weighted-Mean-Subsequence-Reduced (W-MSR) algorithm led to a control method for special kinds of multi-agent systems. Combining model predictive control with W-MSR results in a new algorithm called Reference-Based-W-MSR (RBW-MSR), which has made the consensus point fixed according to a predetermined reference. The effectiveness of the proposed algorithm would be illustrated via simulation results in which different scenarios have been examined to exhibit the success of the method.

AB - This paper deals with the consensus tracking of multi-agent systems in the presence of some Byzantine agents. Steering the agents toward a predefined reference via model predictive control and, besides, encountering the misbehaving agents, are the main aims of the paper. Using graph properties alongside the Weighted-Mean-Subsequence-Reduced (W-MSR) algorithm led to a control method for special kinds of multi-agent systems. Combining model predictive control with W-MSR results in a new algorithm called Reference-Based-W-MSR (RBW-MSR), which has made the consensus point fixed according to a predetermined reference. The effectiveness of the proposed algorithm would be illustrated via simulation results in which different scenarios have been examined to exhibit the success of the method.

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KW - Consensus Tracking

KW - Model Predictive Control

KW - Multi-Agent Systems

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M3 - Conference contribution

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PB - Institute of Electrical and Electronics Engineers Inc.

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Rezaei MA, Bagheri P, Hashemzadeh F. Consensus Tracking of Multi-Agent Systems in The Presence of Byzantine Agents Using Model Predictive Control. In 2022 8th International Conference on Control, Instrumentation and Automation, ICCIA 2022. Institute of Electrical and Electronics Engineers Inc. 2022. (2022 8th International Conference on Control, Instrumentation and Automation, ICCIA 2022). doi: 10.1109/ICCIA54998.2022.9737185

Consensus Tracking of Multi-Agent Systems in The Presence of Byzantine Agents Using Model Predictive Control

Abstract

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Bibliographical note

Keywords

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