Frequency domain identification using adaptive Fourier decomposition method with polynomials-Reference-Cited by-同舟云学术

Frequency domain identification using adaptive Fourier decomposition method with polynomials

Published:2020-07-07 Issue:12 Volume:14 Page:1539-1547
ISSN:1751-8644
Container-title:IET Control Theory & Applications
language:en
Short-container-title:IET Control Theory & Appl

Author:

Mi Wen¹^ORCID,Zheng Wei Xing²

Affiliation:

1. School of Mathematical Sciences, University of Electronic Science and Technology of ChinaChengduPeople's Republic of China

2. School of Computing, Engineering and Mathematics, University of Western SydneyPenrithNSW2751Australia

Funder

National Natural Science Foundation of China

Australian Research Council

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Control and Optimization,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cta.2019.0080

Reference29 articles.

1. System Identification

2. Orthonormal basis functions for modelling continuous-time systems

3. Rational Basis Functions for Robust Identification from Frequency and Time-Domain Measurements

4. Modelling and Identification with Rational Orthogonal Basis Functions

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Parameter identification of fractional‐order Wiener system based on FF‐ESG and GI algorithms;Asian Journal of Control;2023-05-26

2. MIMO frequency domain system identification for discrete systems;2022 41st Chinese Control Conference (CCC);2022-07-25

3. A TM-Based Adaptive Learning Data-Model for Trajectory Tracking and Real-Time Control of a Class of Nonlinear Systems;IEEE Transactions on Circuits and Systems I: Regular Papers;2022-02

4. Monte Carlo forecasting of time series data using Polynomial-Fourier series model;International Journal of Modeling, Simulation, and Scientific Computing;2021-01-12