Maximum likelihood gradient identification for multivariate equation‐error moving average systems using the multi‐innovation theory-Reference-Cited by-同舟云学术

Maximum likelihood gradient identification for multivariate equation‐error moving average systems using the multi‐innovation theory

Published:2019-05-26 Issue:7 Volume:33 Page:1031-1046
ISSN:0890-6327
Container-title:International Journal of Adaptive Control and Signal Processing
language:en
Short-container-title:Int J Adapt Control Signal Process

Author:

Liu Lijuan¹^ORCID,Ding Feng¹²³^ORCID,Hayat Tasawar³

Affiliation:

1. Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), School of Internet of Things EngineeringJiangnan University Wuxi China

2. College of Automation and Electronic EngineeringQingdao University of Science and Technology Qingdao China

3. Department of MathematicsKing Abdulaziz University Jeddah Saudi Arabia

Funder

National Natural Science Foundation of China

Innovative Team of Jiangsu Province

Project 211

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Signal Processing,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/acs.3007

Reference67 articles.

1. A proportional differential control method for a time-delay system using the Taylor expansion approximation

2. Application of the Newton iteration algorithm to the parameter estimation for dynamical systems

3. Parameter estimation and controller design for dynamic systems from the step responses based on the Newton iteration

4. The damping iterative parameter identification method for dynamical systems based on the sine signal measurement

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

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