Consensus method study for a multi-agent system with faults

In recent years, the development and intersection of various disciplines, such as biological sciences and control sciences, have led to the widespread application of multi-agent systems in numerous fields, including aerospace, military, and industry. The consensus problem, a basic issue in the contr...

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Main Author: Wang, Donghai
Other Authors: Hu Guoqiang
Format: Thesis-Master by Coursework
Language:English
Published: Nanyang Technological University 2023
Subjects:
Online Access:https://hdl.handle.net/10356/169622
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1696222023-07-28T15:43:54Z Consensus method study for a multi-agent system with faults Wang, Donghai Hu Guoqiang School of Electrical and Electronic Engineering GQHu@ntu.edu.sg Engineering::Electrical and electronic engineering In recent years, the development and intersection of various disciplines, such as biological sciences and control sciences, have led to the widespread application of multi-agent systems in numerous fields, including aerospace, military, and industry. The consensus problem, a basic issue in the control design of multi-agent systems (MAS), has become a core research topic. However, due to uncontrollable factors encountered during the practical operation of MAS, agent failures are unavoidable. This poses the challenge of ensuring consensus in fault-prone MAS. This study is of consensus methods for MAS with faults, aiming to develop effective strategies for maintaining system performance and stability despite agent failures. Through simulation results, the performance of our proposed methods in achieving consensus and maintaining optimal operation in MAS with faults is demonstrated. This research contributes to the advancement of coordinated control techniques and paves the way for more resilient and adaptable MAS in a variety of applications. Master of Science (Computer Control and Automation) 2023-07-26T08:18:59Z 2023-07-26T08:18:59Z 2023 Thesis-Master by Coursework Wang, D. (2023). Consensus method study for a multi-agent system with faults. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/169622 https://hdl.handle.net/10356/169622 en application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
spellingShingle Engineering::Electrical and electronic engineering
Wang, Donghai
Consensus method study for a multi-agent system with faults
description In recent years, the development and intersection of various disciplines, such as biological sciences and control sciences, have led to the widespread application of multi-agent systems in numerous fields, including aerospace, military, and industry. The consensus problem, a basic issue in the control design of multi-agent systems (MAS), has become a core research topic. However, due to uncontrollable factors encountered during the practical operation of MAS, agent failures are unavoidable. This poses the challenge of ensuring consensus in fault-prone MAS. This study is of consensus methods for MAS with faults, aiming to develop effective strategies for maintaining system performance and stability despite agent failures. Through simulation results, the performance of our proposed methods in achieving consensus and maintaining optimal operation in MAS with faults is demonstrated. This research contributes to the advancement of coordinated control techniques and paves the way for more resilient and adaptable MAS in a variety of applications.
author2 Hu Guoqiang
author_facet Hu Guoqiang
Wang, Donghai
format Thesis-Master by Coursework
author Wang, Donghai
author_sort Wang, Donghai
title Consensus method study for a multi-agent system with faults
title_short Consensus method study for a multi-agent system with faults
title_full Consensus method study for a multi-agent system with faults
title_fullStr Consensus method study for a multi-agent system with faults
title_full_unstemmed Consensus method study for a multi-agent system with faults
title_sort consensus method study for a multi-agent system with faults
publisher Nanyang Technological University
publishDate 2023
url https://hdl.handle.net/10356/169622
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