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• W2898056927 abstract "This paper presents a parameter estimation algorithm for dynamical systems based on frequency responses. By means of the discrete measurement data, a nonlinear cost function is established for deriving the parameter estimation algorithm. In order to achieve good convergence and high stability, we present a self-regulation factor algorithm for estimating system parameters. Moreover, the gradient parameter estimation algorithm is derived to compare the effectiveness of the proposed self-regulation factor algorithm effectiveness. The simulation results indicate that the proposed method works efficiently." @default.
• W2898056927 created "2018-10-26" @default.
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• W2898056927 date "2018-07-01" @default.
• W2898056927 modified "2023-09-23" @default.
• W2898056927 title "The Self-Regulation Factor Iterative Parameter Identification Algorithm Based on the Measurement Data of Frequency Responses" @default.
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• W2898056927 doi "https://doi.org/10.23919/chicc.2018.8484054" @default.
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