Fault Diagnosis and Minimum Rational Entropy Fault Tolerant Control of Stochastic Distribution Collaborative Systems

Fault Diagnosis and Minimum Rational Entropy Fault Tolerant Control of Stochastic Distribution Collaborative Systems

In this paper, a fault-tolerant control scheme is presented for a class of stochastic distribution collaborative control systems, which are composed of three subsystems connected in series to complete the control target. The radial basis function neural network is used to approximate the output prob...

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Main Authors: Lina Yao, Wei Wu, Yunfeng Kang, Lifan Li
Format: Article
Language:English
Published: MDPI AG 2018-10-01
Series:Entropy
Subjects:
stochastic distribution collaborative control systems
fault diagnosis
fault tolerant control
minimum rational entropy control
Online Access:https://www.mdpi.com/1099-4300/20/11/820
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spelling doaj-efa17da83cf342369e37330be95ad0e42020-11-24T22:58:49ZengMDPI AGEntropy1099-43002018-10-01201182010.3390/e20110820e20110820Fault Diagnosis and Minimum Rational Entropy Fault Tolerant Control of Stochastic Distribution Collaborative SystemsLina Yao0Wei Wu1Yunfeng Kang2Lifan Li3College of Electrical Engineering, Zhengzhou University, Zhengzhou 450001, ChinaCollege of Electrical Engineering, Zhengzhou University, Zhengzhou 450001, ChinaCollege of Electrical Engineering, Zhengzhou University, Zhengzhou 450001, ChinaCollege of Electrical Engineering, Zhengzhou University, Zhengzhou 450001, ChinaIn this paper, a fault-tolerant control scheme is presented for a class of stochastic distribution collaborative control systems, which are composed of three subsystems connected in series to complete the control target. The radial basis function neural network is used to approximate the output probability density function of the third subsystem, which is also the output of the entire system. When fault occurs in the first subsystem, an adaptive diagnostic observer is designed to estimate the value of fault. However, the first subsystem does not have the ability of self-recovery, minimum rational entropy controllers are designed in the latter subsystems to compensate the influence of the fault and minimize the entropy of the system output. A numerical simulation is given to verify the effectiveness of the proposed scheme.https://www.mdpi.com/1099-4300/20/11/820stochastic distribution collaborative control systemsfault diagnosisfault tolerant controlminimum rational entropy control
collection DOAJ
language English
format Article
sources DOAJ
author Lina Yao
Wei Wu
Yunfeng Kang
Lifan Li
spellingShingle Lina Yao
Wei Wu
Yunfeng Kang
Lifan Li
Fault Diagnosis and Minimum Rational Entropy Fault Tolerant Control of Stochastic Distribution Collaborative Systems
Entropy
stochastic distribution collaborative control systems
fault diagnosis
fault tolerant control
minimum rational entropy control
author_facet Lina Yao
Wei Wu
Yunfeng Kang
Lifan Li
author_sort Lina Yao
title Fault Diagnosis and Minimum Rational Entropy Fault Tolerant Control of Stochastic Distribution Collaborative Systems
title_short Fault Diagnosis and Minimum Rational Entropy Fault Tolerant Control of Stochastic Distribution Collaborative Systems
title_full Fault Diagnosis and Minimum Rational Entropy Fault Tolerant Control of Stochastic Distribution Collaborative Systems
title_fullStr Fault Diagnosis and Minimum Rational Entropy Fault Tolerant Control of Stochastic Distribution Collaborative Systems
title_full_unstemmed Fault Diagnosis and Minimum Rational Entropy Fault Tolerant Control of Stochastic Distribution Collaborative Systems
title_sort fault diagnosis and minimum rational entropy fault tolerant control of stochastic distribution collaborative systems
publisher MDPI AG
series Entropy
issn 1099-4300
publishDate 2018-10-01
description In this paper, a fault-tolerant control scheme is presented for a class of stochastic distribution collaborative control systems, which are composed of three subsystems connected in series to complete the control target. The radial basis function neural network is used to approximate the output probability density function of the third subsystem, which is also the output of the entire system. When fault occurs in the first subsystem, an adaptive diagnostic observer is designed to estimate the value of fault. However, the first subsystem does not have the ability of self-recovery, minimum rational entropy controllers are designed in the latter subsystems to compensate the influence of the fault and minimize the entropy of the system output. A numerical simulation is given to verify the effectiveness of the proposed scheme.
topic stochastic distribution collaborative control systems
fault diagnosis
fault tolerant control
minimum rational entropy control
url https://www.mdpi.com/1099-4300/20/11/820
work_keys_str_mv AT linayao faultdiagnosisandminimumrationalentropyfaulttolerantcontrolofstochasticdistributioncollaborativesystems
AT weiwu faultdiagnosisandminimumrationalentropyfaulttolerantcontrolofstochasticdistributioncollaborativesystems
AT yunfengkang faultdiagnosisandminimumrationalentropyfaulttolerantcontrolofstochasticdistributioncollaborativesystems
AT lifanli faultdiagnosisandminimumrationalentropyfaulttolerantcontrolofstochasticdistributioncollaborativesystems
_version_ 1725646412984614912

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