Inverse Optimal Adaptive H8 Consensus Control of Multi-Agent Systems on Directed Network Graphs
Design methods of inverse optimal adaptive H8 consensus control of multi-agent systems denoted by the first-order and the second-order regression models on directed network graphs are presented in this paper. The proposed control schemes are derived as solutions of certain H8 control problems, where...
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Format: | Article |
Language: | English |
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Taylor & Francis Group
2018-03-01
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Series: | SICE Journal of Control, Measurement, and System Integration |
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Online Access: | http://dx.doi.org/10.9746/jcmsi.11.113 |
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author | Yoshihiko Miyasato |
author_facet | Yoshihiko Miyasato |
author_sort | Yoshihiko Miyasato |
collection | DOAJ |
description | Design methods of inverse optimal adaptive H8 consensus control of multi-agent systems denoted by the first-order and the second-order regression models on directed network graphs are presented in this paper. The proposed control schemes are derived as solutions of certain H8 control problems, where estimation errors of tuning parameters are regarded as external disturbances to the process. It is shown that the resulting control systems are robust to uncertain system parameters and that the desirable consensus tracking is achieved approximately via adaptation schemes and design parameters. |
first_indexed | 2024-03-11T18:39:10Z |
format | Article |
id | doaj.art-cf6706cf0eca4124a22566efb3bf4f6f |
institution | Directory Open Access Journal |
issn | 1884-9970 |
language | English |
last_indexed | 2024-03-11T18:39:10Z |
publishDate | 2018-03-01 |
publisher | Taylor & Francis Group |
record_format | Article |
series | SICE Journal of Control, Measurement, and System Integration |
spelling | doaj.art-cf6706cf0eca4124a22566efb3bf4f6f2023-10-12T13:43:54ZengTaylor & Francis GroupSICE Journal of Control, Measurement, and System Integration1884-99702018-03-0111211312110.9746/jcmsi.11.11312103196Inverse Optimal Adaptive H8 Consensus Control of Multi-Agent Systems on Directed Network GraphsYoshihiko Miyasato0Department of Mathematical Analysis and Statistical Inference, The Institute of Statistical MathematicsDesign methods of inverse optimal adaptive H8 consensus control of multi-agent systems denoted by the first-order and the second-order regression models on directed network graphs are presented in this paper. The proposed control schemes are derived as solutions of certain H8 control problems, where estimation errors of tuning parameters are regarded as external disturbances to the process. It is shown that the resulting control systems are robust to uncertain system parameters and that the desirable consensus tracking is achieved approximately via adaptation schemes and design parameters.http://dx.doi.org/10.9746/jcmsi.11.113adaptive controlconsensus controlmulti-agent systemh8 control |
spellingShingle | Yoshihiko Miyasato Inverse Optimal Adaptive H8 Consensus Control of Multi-Agent Systems on Directed Network Graphs SICE Journal of Control, Measurement, and System Integration adaptive control consensus control multi-agent system h8 control |
title | Inverse Optimal Adaptive H8 Consensus Control of Multi-Agent Systems on Directed Network Graphs |
title_full | Inverse Optimal Adaptive H8 Consensus Control of Multi-Agent Systems on Directed Network Graphs |
title_fullStr | Inverse Optimal Adaptive H8 Consensus Control of Multi-Agent Systems on Directed Network Graphs |
title_full_unstemmed | Inverse Optimal Adaptive H8 Consensus Control of Multi-Agent Systems on Directed Network Graphs |
title_short | Inverse Optimal Adaptive H8 Consensus Control of Multi-Agent Systems on Directed Network Graphs |
title_sort | inverse optimal adaptive h8 consensus control of multi agent systems on directed network graphs |
topic | adaptive control consensus control multi-agent system h8 control |
url | http://dx.doi.org/10.9746/jcmsi.11.113 |
work_keys_str_mv | AT yoshihikomiyasato inverseoptimaladaptiveh8consensuscontrolofmultiagentsystemsondirectednetworkgraphs |