Parameter estimation of Markov‐switching Hammerstein systems using the variational Bayesian approach-Reference-Cited by-同舟云学术

Parameter estimation of Markov‐switching Hammerstein systems using the variational Bayesian approach

Published:2019-06-13 Issue:11 Volume:13 Page:1646-1655
ISSN:1751-8652
Container-title:IET Control Theory & Applications
language:en
Short-container-title:IET Control Theory & Applications

Author:

Ma Junxia¹^ORCID,Huang Biao²,Ding Feng¹^ORCID

Affiliation:

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

2. Department of Chemical and Materials EngineeringUniversity of AlbertaEdmontonABT6G 2G6Canada

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

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cta.2018.6236

Reference41 articles.

1. Model selection approaches for non-linear system identification: a review

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

3. Parametric system identification and robust controller design for liquid–liquid heat exchanger system

4. Identification and control for Hammerstein systems with hysteresis non‐linearity

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