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Tytuł artykułu

Nonlinear convergence algorithm: structural properties with doubly stochastic quadratic operators for multi-agent systems

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper proposes nonlinear operator of extreme doubly stochastic quadratic operator (EDSQO) for convergence algorithm aimed at solving consensus problem (CP) of discrete-time for multi-agent systems (MAS) on n-dimensional simplex. The first part undertakes systematic review of consensus problems. Convergence was generated via extreme doubly stochastic quadratic operators (EDSQOs) in the other part. However, this work was able to formulate convergence algorithms from doubly stochastic matrices, majorization theory, graph theory and stochastic analysis. We develop two algorithms: 1) the nonlinear algorithm of extreme doubly stochastic quadratic operator (NLAEDSQO) to generate all the convergent EDSQOs and 2) the nonlinear convergence algorithm (NLCA) of EDSQOs to investigate the optimal consensus for MAS. Experimental evaluation on convergent of EDSQOs yielded an optimal consensus for MAS. Comparative analysis with the convergence of EDSQOs and DeGroot model were carried out. The comparison was based on the complexity of operators, number of iterations to converge and the time required for convergences. This research proposed algorithm on convergence which is faster than the DeGroot linear model.
Rocznik
Strony
49--61
Opis fizyczny
Bibliogr. 42, poz., rys.
Twórcy
  • Collage of Information and Communication Technology,International Islamic University Malaysia, 53100, Kuala Lumpur, Malaysia
autor
  • Collage of Information and Communication Technology,International Islamic University Malaysia, 53100, Kuala Lumpur, Malaysia
autor
  • Collage of Information and Communication Technology,International Islamic University Malaysia, 53100, Kuala Lumpur, Malaysia
autor
  • Collage of Information and Communication Technology,International Islamic University Malaysia, 53100, Kuala Lumpur, Malaysia
Bibliografia
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Uwagi
PL
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-27eaf566-a96a-4f4e-9f06-d19ff0cb33eb
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