Identification of a nonlinear rational model based on bias compensated multi-innovation stochastic gradient algorithm
Author:
Affiliation:
1. School of Physics and Electronic Electrical Engineering, Huaiyin Normal University, Huaian, People’s Republic of China
2. School of Automotive and Traffic Engineering, Jiangsu University of Technology, Changzhou, People’s Republic of China
Funder
National Natural Science Foundation of China
Natural science research project of colleges and universities in Jiangsu
National Scholarship Foundation of China
Publisher
Informa UK Limited
Subject
General Computer Science,Control and Systems Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/00051144.2022.2087843
Reference34 articles.
1. Sparse Identification of Volterra Models for Power Amplifiers Without Pseudoinverse Computation
2. Identification of a deterministic Wiener system based on input least squares algorithm and direct residual method
3. NARMAX Identification Based Closed-Loop Control of Flow Separation over NACA 0015 Airfoil
4. Robust bearings-only tracking algorithm using structured total least squares-based Kalman filter
5. Maximum likelihood based identification methods for rational models
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