Two‐stage parameter estimation algorithms for Box–Jenkins systems-Reference-Cited by-同舟云学术

Two‐stage parameter estimation algorithms for Box–Jenkins systems

Published:2013-10 Issue:8 Volume:7 Page:646-654
ISSN:1751-9675
Container-title:IET Signal Processing
language:en
Short-container-title:IET signal process.

Author:

Ding Feng¹²,Duan Honghong¹

Affiliation:

1. Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education)Jiangnan UniversityWuxi214122People's Republic of China

2. Control Science and Engineering Research CenterJiangnan UniversityWuxi214122People's Republic of China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Signal Processing

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-spr.2012.0183

Reference43 articles.

1. Maximum likelihood least squares identification for systems with autoregressive moving average noise;Wang W.;Appl. Math. Model.,2013

2. Maximum likelihood least squares identification method for input nonlinear finite impulse response moving average systems

3. Dai X. Breikin T. Gao Z. Wang H.: ‘Dynamic modelling and robust fault detection of a gas turbine engine’.2008 American Control Conf. Seattle USA June 11–13 2008 pp.2160–2165

4. Algorithm for Fourier coefficient estimation

Cited by 50 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. An identification algorithm of switched Box-Jenkins systems in the presence of bounded disturbances: An approach for approximating complex biological wastewater treatment models;Journal of Water Process Engineering;2024-04

2. Recursive identification methods for general stochastic systems with colored noises by using the hierarchical identification principle and the filtering identification idea;Annual Reviews in Control;2024

3. Parameter identification for Hammerstein nonlinear system with polynomial and state space model;Measurement and Control;2022-09-16

4. An evolving concept in the identification of an interval fuzzy model of Wiener-Hammerstein nonlinear dynamic systems;Information Sciences;2021-12

5. Self-tuned Model-Based Predictive Control Using Evolving Fuzzy Model of a Non-linear Dynamic Process;Explainable AI and Other Applications of Fuzzy Techniques;2021-07-28