Smoothed functional algorithm with norm-limited update vector for identification of continuous-time fractional-order Hammerstein Models

• 主要な著者: Mok, Ren Hao, Mohd Ashraf, Ahmad
• フォーマット: 論文
• 言語: English
• 出版事項: Taylor & Francis 2024
• 主題: TK Electrical engineering. Electronics Nuclear engineering
• オンライン･アクセス: http://umpir.ump.edu.my/id/eprint/44016/1/Smoothed%20functional%20algorithm%20with%20norm-limited%20update%20vector%20for%20identification.pdf; http://umpir.ump.edu.my/id/eprint/44016/; https://doi.org/10.1080/03772063.2022.2152879; https://doi.org/10.1080/03772063.2022.2152879

This article proposes an identification method of continuous-time fractional-order Hammerstein model using smoothed functional algorithm with a norm-limited update vector (NL-SFA). In particular, the standard smoothed functional algorithm (SFA) based method is modified by implementing a limit functi...