Suboptimal Event-Triggered Consensus of Multiagent Systems
In this paper the suboptimal event-triggered consensus problem of Multiagent systems is investigated. Using the combinational measurement approach, each agent only updates its control input at its own event time instants. Thus the total number of events and the amount of controller updates can be si...
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | Abstract and Applied Analysis |
| Online Access: | http://dx.doi.org/10.1155/2014/325751 |
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| _version_ | 1832568355494559744 |
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| author | Yuan Fan |
| author_facet | Yuan Fan |
| author_sort | Yuan Fan |
| collection | DOAJ |
| description | In this paper the suboptimal event-triggered consensus problem of Multiagent systems is investigated. Using the combinational measurement approach, each agent only updates its control input at its own event time instants. Thus the total number of events and the amount of controller updates can be significantly reduced in practice. Then, based on the observation of increasing the consensus rate and reducing the number of triggering events, we have proposed the time-average cost of the agent system and developed a suboptimal approach to determine the triggering condition. The effectiveness of the proposed strategy is illustrated by numerical examples. |
| format | Article |
| id | doaj-art-52534174d5b14812be8efe52be4d6b9c |
| institution | Kabale University |
| issn | 1085-3375 1687-0409 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Abstract and Applied Analysis |
| spelling | doaj-art-52534174d5b14812be8efe52be4d6b9c2025-02-03T00:59:17ZengWileyAbstract and Applied Analysis1085-33751687-04092014-01-01201410.1155/2014/325751325751Suboptimal Event-Triggered Consensus of Multiagent SystemsYuan Fan0School of Electrical Engineering and Automation, Anhui University, 111 Kowloon Road, Hefei 230601, ChinaIn this paper the suboptimal event-triggered consensus problem of Multiagent systems is investigated. Using the combinational measurement approach, each agent only updates its control input at its own event time instants. Thus the total number of events and the amount of controller updates can be significantly reduced in practice. Then, based on the observation of increasing the consensus rate and reducing the number of triggering events, we have proposed the time-average cost of the agent system and developed a suboptimal approach to determine the triggering condition. The effectiveness of the proposed strategy is illustrated by numerical examples.http://dx.doi.org/10.1155/2014/325751 |
| spellingShingle | Yuan Fan Suboptimal Event-Triggered Consensus of Multiagent Systems Abstract and Applied Analysis |
| title | Suboptimal Event-Triggered Consensus of Multiagent Systems |
| title_full | Suboptimal Event-Triggered Consensus of Multiagent Systems |
| title_fullStr | Suboptimal Event-Triggered Consensus of Multiagent Systems |
| title_full_unstemmed | Suboptimal Event-Triggered Consensus of Multiagent Systems |
| title_short | Suboptimal Event-Triggered Consensus of Multiagent Systems |
| title_sort | suboptimal event triggered consensus of multiagent systems |
| url | http://dx.doi.org/10.1155/2014/325751 |
| work_keys_str_mv | AT yuanfan suboptimaleventtriggeredconsensusofmultiagentsystems |