This brief studies the parameter estimation problem of a generalized time-varying system by using a novel gradient descent algorithm. The time-varying parameters are estimated by the accelerating gradient descent algorithm… Click to show full abstract
This brief studies the parameter estimation problem of a generalized time-varying system by using a novel gradient descent algorithm. The time-varying parameters are estimated by the accelerating gradient descent algorithm under considering the measurable disturbance factors. The proposed algorithm increases the convergence rate by adding a momentum term to the correction of the parameter updated estimates. In addition, a data filter is introduced to filter the input and output data, so as to eliminate the interference of colored noise to the accuracy of parameter estimation. A numerical example shows the effectiveness of the proposed algorithm.
Journal Title: IEEE Transactions on Circuits and Systems II: Express Briefs
Year Published: 2023
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