Fast Iterative Sample Transfer Identification Method for Dynamic Systems Under Non‐identical Distribution
Yan Huang,
Xiaoli Luan,
Xiaojing Ping
et al.
Abstract:This paper proposes a method to improve the identification performance of linear dynamic systems by utilizing knowledge from samples of non‐identical distribution systems. Traditional identification methods heavily rely on the quality of the dataset, such as sample length and noise level, which constrains their performance due to the assumption of identical distribution. Motivated by the concept of sample‐based transfer learning, we propose a sample transfer identification method and derive the condition to av… Show more
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