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Generalized Correntropy Criterion-Based Performance Assessment for Non-Gaussian Stochastic Systems

Control loop performance assessment (CPA) is essential in the operation of industrial systems. In this paper, the shortcomings of existing performance assessment methods and indicators are summarized firstly, and a novel evaluation method based on generalized correntropy criterion (GCC) is proposed...

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Detalles Bibliográficos
Autores principales: Zhang, Jinfang, Huang, Guodou, Zhang, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8234946/
https://www.ncbi.nlm.nih.gov/pubmed/34204346
http://dx.doi.org/10.3390/e23060764
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author Zhang, Jinfang
Huang, Guodou
Zhang, Li
author_facet Zhang, Jinfang
Huang, Guodou
Zhang, Li
author_sort Zhang, Jinfang
collection PubMed
description Control loop performance assessment (CPA) is essential in the operation of industrial systems. In this paper, the shortcomings of existing performance assessment methods and indicators are summarized firstly, and a novel evaluation method based on generalized correntropy criterion (GCC) is proposed to evaluate the performance of non-Gaussian stochastic systems. This criterion could characterize the statistical properties of non-Gaussian random variables more fully, so it can be directly used as the assessment index. When the expected output of the given system is unknown, generalized correntropy is used to describe the similarity of two random variables in the joint space neighborhood controlled and take it as the criterion function of the identification algorithms. To estimate the performance benchmark more quickly and accurately, a hybrid-EDA (H-EDA) combined with the idea of “wading across the stream algorithm” is proposed to obtain the system parameters and disturbance noise PDF. Through the simulation of a single loop feedback control system under different noise disturbances, the effectiveness of the improved algorithm and new indexes are verified.
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spelling pubmed-82349462021-06-27 Generalized Correntropy Criterion-Based Performance Assessment for Non-Gaussian Stochastic Systems Zhang, Jinfang Huang, Guodou Zhang, Li Entropy (Basel) Article Control loop performance assessment (CPA) is essential in the operation of industrial systems. In this paper, the shortcomings of existing performance assessment methods and indicators are summarized firstly, and a novel evaluation method based on generalized correntropy criterion (GCC) is proposed to evaluate the performance of non-Gaussian stochastic systems. This criterion could characterize the statistical properties of non-Gaussian random variables more fully, so it can be directly used as the assessment index. When the expected output of the given system is unknown, generalized correntropy is used to describe the similarity of two random variables in the joint space neighborhood controlled and take it as the criterion function of the identification algorithms. To estimate the performance benchmark more quickly and accurately, a hybrid-EDA (H-EDA) combined with the idea of “wading across the stream algorithm” is proposed to obtain the system parameters and disturbance noise PDF. Through the simulation of a single loop feedback control system under different noise disturbances, the effectiveness of the improved algorithm and new indexes are verified. MDPI 2021-06-17 /pmc/articles/PMC8234946/ /pubmed/34204346 http://dx.doi.org/10.3390/e23060764 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zhang, Jinfang
Huang, Guodou
Zhang, Li
Generalized Correntropy Criterion-Based Performance Assessment for Non-Gaussian Stochastic Systems
title Generalized Correntropy Criterion-Based Performance Assessment for Non-Gaussian Stochastic Systems
title_full Generalized Correntropy Criterion-Based Performance Assessment for Non-Gaussian Stochastic Systems
title_fullStr Generalized Correntropy Criterion-Based Performance Assessment for Non-Gaussian Stochastic Systems
title_full_unstemmed Generalized Correntropy Criterion-Based Performance Assessment for Non-Gaussian Stochastic Systems
title_short Generalized Correntropy Criterion-Based Performance Assessment for Non-Gaussian Stochastic Systems
title_sort generalized correntropy criterion-based performance assessment for non-gaussian stochastic systems
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8234946/
https://www.ncbi.nlm.nih.gov/pubmed/34204346
http://dx.doi.org/10.3390/e23060764
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