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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Bibliographic Details
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
Description
Summary: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.
ISSN:1884-9970