González Sorribes, A.; Sala, A.; Armesto, L. (2022). Decentralized Multi-Agent Formation Control with Pole-Region Placement via Cone-Complementarity Linearization. International Journal of Applied Mathematics and Computer Science. 32(3):415-428. https://doi.org/10.34768/amcs-2022-0030
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/198317
Title:
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Decentralized Multi-Agent Formation Control with Pole-Region Placement via Cone-Complementarity Linearization
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Author:
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González Sorribes, Antonio
Sala, Antonio
Armesto, Leopoldo
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UPV Unit:
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Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros Industriales - Escola Tècnica Superior d'Enginyers Industrials
Universitat Politècnica de València. Escuela Técnica Superior de Ingeniería del Diseño - Escola Tècnica Superior d'Enginyeria del Disseny
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Issued date:
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Abstract:
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[EN] An output-feedback decentralised formation control strategy is pursued under pole-region constraints, assuming that the
agents have access to relative position measurements with respect to a set of neighbors in a graph ...[+]
[EN] An output-feedback decentralised formation control strategy is pursued under pole-region constraints, assuming that the
agents have access to relative position measurements with respect to a set of neighbors in a graph describing the sensing
topology. No communication between the agents is assumed; however, a shared one-way communication channel with a
pilot is needed for steering tasks. Each agent has a separate copy of the same controller. A virtual structure approach is presented for the formation steering as a whole; actual formation control is established via cone-complementarity linearization
algorithms for the appropriate matrix inequalities. In contrast to other research where only stable consensus is pursued, the
proposed method allows us to specify settling-time, damping and bandwidth limitations via pole regions. In addition, a full
methodology for the decoupled handling of steering and formation control is provided. Simulation results in the example
section illustrate the approach
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Subjects:
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Multi-agent autonomous system
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Formation control
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Decoupling
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Linear matrix inequalities
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Cone-complementarity linearization
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Copyrigths:
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Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
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Source:
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International Journal of Applied Mathematics and Computer Science. (issn:
1641-876X
)
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DOI:
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10.34768/amcs-2022-0030
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Publisher:
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De Gruyter Open Sp. z o.o.
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Publisher version:
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https://doi.org/10.34768/amcs-2022-0030
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Coste APC:
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683,65 €
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Project ID:
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info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-116585GB-I00/ES/APRENDIZAJE, CONTROL OPTIMO Y PLANIFICACION BAJO INCERTIDUMBRE EN APLICACIONES INDUSTRIALES/
info:eu-repo/grantAgreement/GENERALITAT VALENCIANA//GV%2F2021%2F082//Diseño, implementación y validación de estrategias de control avanzadas en red aplicadas a sistemas distribuidos multi-robot/
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Thanks:
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The first author is grateful for the financial support via the grant GVA/2021/082 from Generalitat Valenciana. Part of the authors' research activity in related topics is funded via the grant PID2020-116585GB-I00 through ...[+]
The first author is grateful for the financial support via the grant GVA/2021/082 from Generalitat Valenciana. Part of the authors' research activity in related topics is funded via the grant PID2020-116585GB-I00 through MCIN/AEI/10.13039/501100011033 and by the European Union.
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Type:
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Artículo
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