Nonlinear Uncertainties Canceling in Multi-Agent Systems Enabled by Cooperative Adaptation
This paper deals with uncertainties problem in multi-agent systems with novel cooperative adaptation approach. Since uncertainties in multi-agent systems are interconnected, local agent often faces uncertainties not only from itself but also from neighbors. The proposed approach is that a local agen...
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| Format: | Article |
| Language: | English |
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Wiley
2018-01-01
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| Series: | Journal of Control Science and Engineering |
| Online Access: | http://dx.doi.org/10.1155/2018/3927108 |
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| _version_ | 1832559080955183104 |
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| author | Cyuansi Shih Chengyu Cao |
| author_facet | Cyuansi Shih Chengyu Cao |
| author_sort | Cyuansi Shih |
| collection | DOAJ |
| description | This paper deals with uncertainties problem in multi-agent systems with novel cooperative adaptation approach. Since uncertainties in multi-agent systems are interconnected, local agent often faces uncertainties not only from itself but also from neighbors. The proposed approach is that a local agent estimates uncertainties from itself and neighboring agents and then changes control strategy. The uncertainties or the equivalences of neighbors can be estimated based on their available outputs; thus, the local agent can adapt to them to cancel out these effects. Stability analysis is also derived that characterizes the transient and steady state performance of multi-agent system. The simulation presents the details of the proposed cooperative adaptation mechanism by compared typical cooperative control. |
| format | Article |
| id | doaj-art-78c095db37774247ad9d8dd7540a3994 |
| institution | Kabale University |
| issn | 1687-5249 1687-5257 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Control Science and Engineering |
| spelling | doaj-art-78c095db37774247ad9d8dd7540a39942025-02-03T01:30:54ZengWileyJournal of Control Science and Engineering1687-52491687-52572018-01-01201810.1155/2018/39271083927108Nonlinear Uncertainties Canceling in Multi-Agent Systems Enabled by Cooperative AdaptationCyuansi Shih0Chengyu Cao1Department of Mechanical Engineering, The University of Connecticut, Storrs, CT 06269, USADepartment of Mechanical Engineering, The University of Connecticut, Storrs, CT 06269, USAThis paper deals with uncertainties problem in multi-agent systems with novel cooperative adaptation approach. Since uncertainties in multi-agent systems are interconnected, local agent often faces uncertainties not only from itself but also from neighbors. The proposed approach is that a local agent estimates uncertainties from itself and neighboring agents and then changes control strategy. The uncertainties or the equivalences of neighbors can be estimated based on their available outputs; thus, the local agent can adapt to them to cancel out these effects. Stability analysis is also derived that characterizes the transient and steady state performance of multi-agent system. The simulation presents the details of the proposed cooperative adaptation mechanism by compared typical cooperative control.http://dx.doi.org/10.1155/2018/3927108 |
| spellingShingle | Cyuansi Shih Chengyu Cao Nonlinear Uncertainties Canceling in Multi-Agent Systems Enabled by Cooperative Adaptation Journal of Control Science and Engineering |
| title | Nonlinear Uncertainties Canceling in Multi-Agent Systems Enabled by Cooperative Adaptation |
| title_full | Nonlinear Uncertainties Canceling in Multi-Agent Systems Enabled by Cooperative Adaptation |
| title_fullStr | Nonlinear Uncertainties Canceling in Multi-Agent Systems Enabled by Cooperative Adaptation |
| title_full_unstemmed | Nonlinear Uncertainties Canceling in Multi-Agent Systems Enabled by Cooperative Adaptation |
| title_short | Nonlinear Uncertainties Canceling in Multi-Agent Systems Enabled by Cooperative Adaptation |
| title_sort | nonlinear uncertainties canceling in multi agent systems enabled by cooperative adaptation |
| url | http://dx.doi.org/10.1155/2018/3927108 |
| work_keys_str_mv | AT cyuansishih nonlinearuncertaintiescancelinginmultiagentsystemsenabledbycooperativeadaptation AT chengyucao nonlinearuncertaintiescancelinginmultiagentsystemsenabledbycooperativeadaptation |