Recursive identification with regularization and on-line hyperparameters estimation
CoRR(2023)
摘要
This paper presents a regularized recursive identification algorithm with
simultaneous on-line estimation of both the model parameters and the algorithms
hyperparameters. A new kernel is proposed to facilitate the algorithm
development. The performance of this novel scheme is compared with that of the
recursive least-squares algorithm in simulation.
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