On impact of disturbance in the deployment problem of multi-agent system

• Autorzy: Topolewicz Katarzyna , Olaru Sorin , Girejko Ewa , Dórea Carlos E.T.

Identyfikatory

DOI

10.24425/acs.2023.146277

• Języki publikacji: EN

Abstrakty

EN

The paper is dedicated to the robustness analysis of scalar multi-agent dynamical systems. The open problem we aim to address is the one related to the impact of additive disturbances. Set-theoretic methods are used to achieve the main results in terms of positive invariance and admissible bounds on the disturbances.

Słowa kluczowe

EN

multi-agent systems; deployment problem; robust invariant set; set-theoretic analysis; disturbance

• Wydawca: Polish Academy of Sciences, Committee of Automatic Control and Robotics
• Czasopismo: Archives of Control Sciences
• Rocznik: 2023
• Tom: Vol. 33, No. 2
• Strony: 299--320
• Opis fizyczny: Bibliogr. 15 poz., rys., wzory

Twórcy

autor

Topolewicz Katarzyna

• Faculty of Computer Science, Bialystok University of Technology, Poland

autor

Olaru Sorin

• Laboratory of Signals and Systems Centrale-Supelec, University Paris-Saclay, France

autor

Girejko Ewa

• Faculty of Computer Science, Bialystok University of Technology, Poland

autor

Dórea Carlos E.T.

• Department of Computer Engineering and Automation, Universidade Federal do Rio Grande do Norte, UFRN-CT-DCA, 59078-900 Natal, RN, Brazil

Bibliografia

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• [4] J. Hatleskog: Voronoi Based Deployment for Multi-Agent Systems. Norwegian University of Science and Technology, Department of Engineering Cybernetics, Norway, 2018.
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• [11] M.T. Nguyen, C.S. Maniu and S. Olaru: Optimization-based control for multi-agent deployment via dynamic voronoi partition. IFAC-PapersOnLine, 50(1), (2017), 1828-1833. DOI: 10.1016/j.ifacol.2017.08.185.
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• [13] K. Topolewicz, E. Girejko and S. Olaru: Decentralized control for deployment of multi-agent dynamical systems. In 2021 23rd International Conference on Process Control (PC), IEEE, (2021), 25-30. DOI: 10.1109/PC52310.2021.9447491.
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• [15] Z. Yaghoubi and H.A. Talebi: Cluster consensus of general fractional-order nonlinear multi agent systems via adaptive sliding mode controller. Archives of Control Sciences, 29(4), (2019), 643-665. DOI: 10.24425/acs.2019.131230.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).