Iterative LMI Approach to Robust Hierarchical Control of Homogenous Linear Multi-Agent Systems Subject to Polytopic Uncertainty and External Disturbance

This paper investigates design of robust hierarchical control for linear multi-agent systems (MAS) subject to polytopic uncertainty and external disturbance. Each agent of MAS is described by a homogeneous linear time-invariant dynamic model. The control structure has two layers, namely, an upper la...

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Autores principales: Tuynh Van Pham, Dinh Hoa Nguyen, David Banjerdpongchai
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Lenguaje:EN
Publicado: IEEE 2021
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spelling oai:doaj.org-article:2eb816136bff4a1ea4e1078a099c60142021-11-17T00:00:52ZIterative LMI Approach to Robust Hierarchical Control of Homogenous Linear Multi-Agent Systems Subject to Polytopic Uncertainty and External Disturbance2169-353610.1109/ACCESS.2021.3126424https://doaj.org/article/2eb816136bff4a1ea4e1078a099c60142021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9606722/https://doaj.org/toc/2169-3536This paper investigates design of robust hierarchical control for linear multi-agent systems (MAS) subject to polytopic uncertainty and external disturbance. Each agent of MAS is described by a homogeneous linear time-invariant dynamic model. The control structure has two layers, namely, an upper layer and a lower layer. Local actions are executed in the lower layer. Each agent shares information through an undirected graph with neighboring agents in the upper layer to achieve the global stabilization and disturbance attenuation. We employ a parameter-dependent Lyapunov function to formulate the robust control design of the local and global feedback in terms of bilinear matrix inequalities and incorporate constraints on disturbance attenuation. We propose the sufficient condition, where system matrices and Lyapunov variables are separated. The parameterization of the controller depends on a common slack variable instead of the Lyapunov matrices. We develop an iterative approach based on the coordinated optimization to solve sub-problems over linear matrix inequalities. Numerical examples are provided to demonstrate the effectiveness of the proposed robust control designs. It is shown that our proposed robust control designs outperform other robust control designs in terms of achievable disturbance attenuation and maximum admissible uncertainty bound.Tuynh Van PhamDinh Hoa NguyenDavid BanjerdpongchaiIEEEarticleMulti-agent systemspolytopic uncertaintydisturbance attenuationhierarchical controlparameter-dependent bilinear matrix inequalityElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 151221-151234 (2021)
institution DOAJ
collection DOAJ
language EN
topic Multi-agent systems
polytopic uncertainty
disturbance attenuation
hierarchical control
parameter-dependent bilinear matrix inequality
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
spellingShingle Multi-agent systems
polytopic uncertainty
disturbance attenuation
hierarchical control
parameter-dependent bilinear matrix inequality
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Tuynh Van Pham
Dinh Hoa Nguyen
David Banjerdpongchai
Iterative LMI Approach to Robust Hierarchical Control of Homogenous Linear Multi-Agent Systems Subject to Polytopic Uncertainty and External Disturbance
description This paper investigates design of robust hierarchical control for linear multi-agent systems (MAS) subject to polytopic uncertainty and external disturbance. Each agent of MAS is described by a homogeneous linear time-invariant dynamic model. The control structure has two layers, namely, an upper layer and a lower layer. Local actions are executed in the lower layer. Each agent shares information through an undirected graph with neighboring agents in the upper layer to achieve the global stabilization and disturbance attenuation. We employ a parameter-dependent Lyapunov function to formulate the robust control design of the local and global feedback in terms of bilinear matrix inequalities and incorporate constraints on disturbance attenuation. We propose the sufficient condition, where system matrices and Lyapunov variables are separated. The parameterization of the controller depends on a common slack variable instead of the Lyapunov matrices. We develop an iterative approach based on the coordinated optimization to solve sub-problems over linear matrix inequalities. Numerical examples are provided to demonstrate the effectiveness of the proposed robust control designs. It is shown that our proposed robust control designs outperform other robust control designs in terms of achievable disturbance attenuation and maximum admissible uncertainty bound.
format article
author Tuynh Van Pham
Dinh Hoa Nguyen
David Banjerdpongchai
author_facet Tuynh Van Pham
Dinh Hoa Nguyen
David Banjerdpongchai
author_sort Tuynh Van Pham
title Iterative LMI Approach to Robust Hierarchical Control of Homogenous Linear Multi-Agent Systems Subject to Polytopic Uncertainty and External Disturbance
title_short Iterative LMI Approach to Robust Hierarchical Control of Homogenous Linear Multi-Agent Systems Subject to Polytopic Uncertainty and External Disturbance
title_full Iterative LMI Approach to Robust Hierarchical Control of Homogenous Linear Multi-Agent Systems Subject to Polytopic Uncertainty and External Disturbance
title_fullStr Iterative LMI Approach to Robust Hierarchical Control of Homogenous Linear Multi-Agent Systems Subject to Polytopic Uncertainty and External Disturbance
title_full_unstemmed Iterative LMI Approach to Robust Hierarchical Control of Homogenous Linear Multi-Agent Systems Subject to Polytopic Uncertainty and External Disturbance
title_sort iterative lmi approach to robust hierarchical control of homogenous linear multi-agent systems subject to polytopic uncertainty and external disturbance
publisher IEEE
publishDate 2021
url https://doaj.org/article/2eb816136bff4a1ea4e1078a099c6014
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AT dinhhoanguyen iterativelmiapproachtorobusthierarchicalcontrolofhomogenouslinearmultiagentsystemssubjecttopolytopicuncertaintyandexternaldisturbance
AT davidbanjerdpongchai iterativelmiapproachtorobusthierarchicalcontrolofhomogenouslinearmultiagentsystemssubjecttopolytopicuncertaintyandexternaldisturbance
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