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• W2887686916 abstract "This paper develops a fractional-order multivariable extremum seeking control with Newton algorithm (FO ESC-NA) for multi-input optimization problem. The proposed FO ESC-NA is investigated to improve the convergence rate and enhance the control accuracy. The influence of unknown Hessian matrix on the convergence speed existed in conventional methods is effectively eliminated in the proposed FO ESC-NA. The proposed FO ESC-NA can obviously guarantee the faster convergence of the extremum seeking scheme to improve the search efficiency of the extrema by adjusting the fractional-order. Simulation results illustrate the effectiveness and advantages of the proposed FO ESC-NA." @default.
• W2887686916 created "2018-08-22" @default.
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• W2887686916 date "2018-06-01" @default.
• W2887686916 modified "2023-09-26" @default.
• W2887686916 title "Design of Fractional-order Multivariable Extremum Seeking with Newton Algorithm" @default.
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• W2887686916 doi "https://doi.org/10.23919/acc.2018.8431393" @default.
• W2887686916 hasPublicationYear "2018" @default.
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