Academic Journal

Exponential excitations for effective identification of Wiener system.

التفاصيل البيبلوغرافية
العنوان: Exponential excitations for effective identification of Wiener system.
المؤلفون: Maik, Gabriel1 (AUTHOR) gabriel.maik@pwr.edu.pl, Mzyk, Grzegorz1 (AUTHOR), Wachel, Paweł1 (AUTHOR)
المصدر: International Journal of Control. Sep2024, Vol. 97 Issue 9, p1956-1966. 11p.
مصطلحات موضوعية: *NONLINEAR estimation, *IMPULSE response, *NONLINEAR regression, *SYSTEM identification, *FIR
مستخلص: The paper considers the problem of nonparametric estimation of nonlinear characteristic in the FIR Wiener system. Methods proposed so far have suffered from the so-called 'curse of dimensionality' and their practical applications have been limited to the very short impulse responses of the linear component. In the proposed approach, the class of (stochastically initialised) repeated exponential input excitations is introduced, and a modified kernel-based estimator is presented. It is shown that the rate of convergence to the genuine system characteristic is significantly improved and does not depend on the length of the impulse response of the linear dynamic block. [ABSTRACT FROM AUTHOR]
قاعدة البيانات: Academic Search Index
الوصف
تدمد:00207179
DOI:10.1080/00207179.2023.2246070