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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Main Author: Yoshihiko Miyasato
Format: Article
Language:English
Published: Taylor & Francis Group 2018-03-01
Series:SICE Journal of Control, Measurement, and System Integration
Subjects:
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.
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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