Adaptive cooperative control of nonlinear multi-agent systems with uncertain time-varying control directions and dead-zone nonlinearity
<p dir="ltr">This paper investigates the development of an adaptive cooperative control scheme for the consensus of uncertain nonlinear multi-agent systems subjected to uncertain time-varying control direction, disturbances, and dead-zone nonlinearity. The dead-zone nonlinearity is d...
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2021
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| _version_ | 1864513547833180160 |
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| author | Maryam Shahriari-kahkeshi (17269051) |
| author2 | Nader Meskin (14147796) |
| author2_role | author |
| author_facet | Maryam Shahriari-kahkeshi (17269051) Nader Meskin (14147796) |
| author_role | author |
| dc.creator.none.fl_str_mv | Maryam Shahriari-kahkeshi (17269051) Nader Meskin (14147796) |
| dc.date.none.fl_str_mv | 2021-11-13T00:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1016/j.neucom.2021.08.065 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Adaptive_cooperative_control_of_nonlinear_multi-agent_systems_with_uncertain_time-varying_control_directions_and_dead-zone_nonlinearity/24420424 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Information and computing sciences Data management and data science Machine learning Multi-agent systems Adaptive control Unknown time-varying control gain Dead-zone nonlinearity |
| dc.title.none.fl_str_mv | Adaptive cooperative control of nonlinear multi-agent systems with uncertain time-varying control directions and dead-zone nonlinearity |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">This paper investigates the development of an adaptive cooperative control scheme for the consensus of uncertain nonlinear multi-agent systems subjected to uncertain time-varying control direction, disturbances, and dead-zone nonlinearity. The dead-zone nonlinearity is described by an uncertain nonlinear function of the control input which can represent a wide class of practical input nonlinearities. It is assumed that no prior knowledge about the uncertain nonlinearities of agents, disturbances, dead-zone parameters, magnitude and sign of the control gain is available. In this paper, a Nussbaum function is used to deal with the unknown time-varying control directions problem and a disturbance-like term in the dead-zone description is approximated by an adaptive TSK-type fuzzy system. Then, by using the dynamic surface control approach and radial-basis function neural network, an adaptive distributed controller is designed for each follower agent. Stability analysis shows that all signals of the closed-loop multi-agent system are semi-globally uniformly ultimately bounded and the consensus error can be made arbitrary small by the proper selection of design parameters. Simulation and comparison results demonstrate the effectiveness of the proposed algorithm.</p><h2>Other Information</h2><p dir="ltr">Published in: Neurocomputing<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.neucom.2021.08.065" target="_blank">https://dx.doi.org/10.1016/j.neucom.2021.08.065</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_1a063bd38a92ba1de4dd3ed6da3bef47 |
| identifier_str_mv | 10.1016/j.neucom.2021.08.065 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/24420424 |
| publishDate | 2021 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Adaptive cooperative control of nonlinear multi-agent systems with uncertain time-varying control directions and dead-zone nonlinearityMaryam Shahriari-kahkeshi (17269051)Nader Meskin (14147796)Information and computing sciencesData management and data scienceMachine learningMulti-agent systemsAdaptive controlUnknown time-varying control gainDead-zone nonlinearity<p dir="ltr">This paper investigates the development of an adaptive cooperative control scheme for the consensus of uncertain nonlinear multi-agent systems subjected to uncertain time-varying control direction, disturbances, and dead-zone nonlinearity. The dead-zone nonlinearity is described by an uncertain nonlinear function of the control input which can represent a wide class of practical input nonlinearities. It is assumed that no prior knowledge about the uncertain nonlinearities of agents, disturbances, dead-zone parameters, magnitude and sign of the control gain is available. In this paper, a Nussbaum function is used to deal with the unknown time-varying control directions problem and a disturbance-like term in the dead-zone description is approximated by an adaptive TSK-type fuzzy system. Then, by using the dynamic surface control approach and radial-basis function neural network, an adaptive distributed controller is designed for each follower agent. Stability analysis shows that all signals of the closed-loop multi-agent system are semi-globally uniformly ultimately bounded and the consensus error can be made arbitrary small by the proper selection of design parameters. Simulation and comparison results demonstrate the effectiveness of the proposed algorithm.</p><h2>Other Information</h2><p dir="ltr">Published in: Neurocomputing<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.neucom.2021.08.065" target="_blank">https://dx.doi.org/10.1016/j.neucom.2021.08.065</a></p>2021-11-13T00:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1016/j.neucom.2021.08.065https://figshare.com/articles/journal_contribution/Adaptive_cooperative_control_of_nonlinear_multi-agent_systems_with_uncertain_time-varying_control_directions_and_dead-zone_nonlinearity/24420424CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/244204242021-11-13T00:00:00Z |
| spellingShingle | Adaptive cooperative control of nonlinear multi-agent systems with uncertain time-varying control directions and dead-zone nonlinearity Maryam Shahriari-kahkeshi (17269051) Information and computing sciences Data management and data science Machine learning Multi-agent systems Adaptive control Unknown time-varying control gain Dead-zone nonlinearity |
| status_str | publishedVersion |
| title | Adaptive cooperative control of nonlinear multi-agent systems with uncertain time-varying control directions and dead-zone nonlinearity |
| title_full | Adaptive cooperative control of nonlinear multi-agent systems with uncertain time-varying control directions and dead-zone nonlinearity |
| title_fullStr | Adaptive cooperative control of nonlinear multi-agent systems with uncertain time-varying control directions and dead-zone nonlinearity |
| title_full_unstemmed | Adaptive cooperative control of nonlinear multi-agent systems with uncertain time-varying control directions and dead-zone nonlinearity |
| title_short | Adaptive cooperative control of nonlinear multi-agent systems with uncertain time-varying control directions and dead-zone nonlinearity |
| title_sort | Adaptive cooperative control of nonlinear multi-agent systems with uncertain time-varying control directions and dead-zone nonlinearity |
| topic | Information and computing sciences Data management and data science Machine learning Multi-agent systems Adaptive control Unknown time-varying control gain Dead-zone nonlinearity |