Iterative parameter identification for pseudo‐linear systems with ARMA noise using the filtering technique-Reference-Cited by-同舟云学术

Iterative parameter identification for pseudo‐linear systems with ARMA noise using the filtering technique

Published:2018-05 Issue:7 Volume:12 Page:892-899
ISSN:1751-8652
Container-title:IET Control Theory & Applications
language:en
Short-container-title:IET Control Theory & Applications

Author:

Ding Feng¹²,Xu Ling¹,Alsaadi Fuad E.³,Hayat Tasawar³

Affiliation:

1. Laboratory of Advanced Process Control for Light Industry (Ministry of Education), School of Internet of Things Engineering, Jiangnan UniversityWuxi214122People's Republic of China

2. College of Automation and Electronic Engineering, Qingdao University of Science and TechnologyQingdao266042People's Republic of China

3. Department of Electrical and Computer Engineering, Faculty of EngineeringKing Abdulaziz UniversityJeddah21589Saudi Arabia

Funder

National Natural Science Foundation of China

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.2017.0821

Reference50 articles.

1. Unbiased Minimum Variance Fault and State Estimation for Linear Discrete Time-Varying Two-Dimensional Systems

2. Some remarks on stability of stochastic singular systems with state-dependent noise

3. LaSalle-Type Theorem and Its Applications to Infinite Horizon Optimal Control of Discrete-Time Nonlinear Stochastic Systems

4. The parameter estimation algorithms based on the dynamical response measurement data

5. Iterative parameter estimation for signal models based on measured data;Xu L.;Circuits Syst. Signal Process.,2018

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