Non-Gaussian Systems Control Performance Assessment Based on Rational Entropy
Control loop Performance Assessment (CPA) plays an important role in system operations. Stochastic statistical CPA index, such as a minimum variance controller (MVC)-based CPA index, is one of the most widely used CPA indices. In this paper, a new minimum entropy controller (MEC)-based CPA method of...
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MDPI AG
2018-05-01
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Series: | Entropy |
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Online Access: | http://www.mdpi.com/1099-4300/20/5/331 |
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author | Jinglin Zhou Yiqing Jia Huixia Jiang Shuyi Fan |
author_facet | Jinglin Zhou Yiqing Jia Huixia Jiang Shuyi Fan |
author_sort | Jinglin Zhou |
collection | DOAJ |
description | Control loop Performance Assessment (CPA) plays an important role in system operations. Stochastic statistical CPA index, such as a minimum variance controller (MVC)-based CPA index, is one of the most widely used CPA indices. In this paper, a new minimum entropy controller (MEC)-based CPA method of linear non-Gaussian systems is proposed. In this method, probability density function (PDF) and rational entropy (RE) are respectively used to describe the characteristics and the uncertainty of random variables. To better estimate the performance benchmark, an improved EDA algorithm, which is used to estimate the system parameters and noise PDF, is given. The effectiveness of the proposed method is illustrated through case studies on an ARMAX system. |
first_indexed | 2024-04-11T12:47:02Z |
format | Article |
id | doaj.art-03fadefce7e24f8492bfa1e998838169 |
institution | Directory Open Access Journal |
issn | 1099-4300 |
language | English |
last_indexed | 2024-04-11T12:47:02Z |
publishDate | 2018-05-01 |
publisher | MDPI AG |
record_format | Article |
series | Entropy |
spelling | doaj.art-03fadefce7e24f8492bfa1e9988381692022-12-22T04:23:18ZengMDPI AGEntropy1099-43002018-05-0120533110.3390/e20050331e20050331Non-Gaussian Systems Control Performance Assessment Based on Rational EntropyJinglin Zhou0Yiqing Jia1Huixia Jiang2Shuyi Fan3College of Information Science &Technology, Beijing University of Chemical Technology, Beijing 100029, ChinaCollege of Information Science &Technology, Beijing University of Chemical Technology, Beijing 100029, ChinaDepartment of Missile Engineering, Army Engineering University, Shijiazhuang 050003, ChinaDepartment of Missile Engineering, Army Engineering University, Shijiazhuang 050003, ChinaControl loop Performance Assessment (CPA) plays an important role in system operations. Stochastic statistical CPA index, such as a minimum variance controller (MVC)-based CPA index, is one of the most widely used CPA indices. In this paper, a new minimum entropy controller (MEC)-based CPA method of linear non-Gaussian systems is proposed. In this method, probability density function (PDF) and rational entropy (RE) are respectively used to describe the characteristics and the uncertainty of random variables. To better estimate the performance benchmark, an improved EDA algorithm, which is used to estimate the system parameters and noise PDF, is given. The effectiveness of the proposed method is illustrated through case studies on an ARMAX system.http://www.mdpi.com/1099-4300/20/5/331Control loop Performance Assessmentnon-Gaussian systemestimation of distribution algorithm (EDA)rational entropy |
spellingShingle | Jinglin Zhou Yiqing Jia Huixia Jiang Shuyi Fan Non-Gaussian Systems Control Performance Assessment Based on Rational Entropy Entropy Control loop Performance Assessment non-Gaussian system estimation of distribution algorithm (EDA) rational entropy |
title | Non-Gaussian Systems Control Performance Assessment Based on Rational Entropy |
title_full | Non-Gaussian Systems Control Performance Assessment Based on Rational Entropy |
title_fullStr | Non-Gaussian Systems Control Performance Assessment Based on Rational Entropy |
title_full_unstemmed | Non-Gaussian Systems Control Performance Assessment Based on Rational Entropy |
title_short | Non-Gaussian Systems Control Performance Assessment Based on Rational Entropy |
title_sort | non gaussian systems control performance assessment based on rational entropy |
topic | Control loop Performance Assessment non-Gaussian system estimation of distribution algorithm (EDA) rational entropy |
url | http://www.mdpi.com/1099-4300/20/5/331 |
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