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• W2131581337 abstract "This paper presents a hybrid algorithm for parameter estimation of synchronous generator. For large-residual problems (i.e., f(x) is large or f(x) is severely nonlinear), the performance of the Gauss-Newton method and Levenberg-Marquardt method is usually poor, and the slow convergence even causes iteration emergence divergence. The Quasi-Newton method can superlinearly converge, but it is not robust in the global stage of the iteration. Hybrid algorithm combining the two methods above is proved globally convergent with a high convergence speed through the example of synchronous generator parameter identification." @default.
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• W2131581337 date "2009-05-01" @default.
• W2131581337 modified "2023-09-30" @default.
• W2131581337 title "A hybrid algorithm for synchronous generator parameter estimation" @default.
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• W2131581337 doi "https://doi.org/10.1109/iciea.2009.5138685" @default.
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