Pub Date : 2018-09-01DOI: 10.23919/IConAC.2018.8748975
A. Rehman, Zobia Rehman, Junaid Akram, Waqar Ali, M. A. Shah, Muhammad Salman
Natural Language Processing (NLP) is a branch of Artificial Intelligence to help computers manipulate and interpret human languages. In NLP, text mining is a technique to derive useful information from text. Topic Model (TM) is a statistical model to extract topics from a large collection of unlabeled text using NLP and machine learning techniques. Several effective TM are available to fulfill the needs of various languages like English, German, Arabic etc. However no compelling TM is available for poor resource South Asian language Urdu. In this research study, our focus is to work on existing TM like Latent Dirichlet Allocation (LDA) to overcome the issues of Urdu language in text mining. We studied and analyzed LDA as an unsupervised model for the Urdu topic identification. Hence, we studied LDA deeply for Urdu topic identification at two levels: Variational Bayes (VB) based LDA for Urdu (VB-ULDA) with stemmer and without stemmer. Experiments are performed on a self-created massive number of Urdu documents in four different corpora. Experimental study shows that VB-ULDA outperformed in the identification of topics from Urdu text documents as compared to existing Urdu LDA (ULDA) in terms of accuracy and efficiency and results also reveal the high impact of stemming algorithm in Urdu topic identification.
{"title":"Statistical Topic Modeling for Urdu Text Articles","authors":"A. Rehman, Zobia Rehman, Junaid Akram, Waqar Ali, M. A. Shah, Muhammad Salman","doi":"10.23919/IConAC.2018.8748975","DOIUrl":"https://doi.org/10.23919/IConAC.2018.8748975","url":null,"abstract":"Natural Language Processing (NLP) is a branch of Artificial Intelligence to help computers manipulate and interpret human languages. In NLP, text mining is a technique to derive useful information from text. Topic Model (TM) is a statistical model to extract topics from a large collection of unlabeled text using NLP and machine learning techniques. Several effective TM are available to fulfill the needs of various languages like English, German, Arabic etc. However no compelling TM is available for poor resource South Asian language Urdu. In this research study, our focus is to work on existing TM like Latent Dirichlet Allocation (LDA) to overcome the issues of Urdu language in text mining. We studied and analyzed LDA as an unsupervised model for the Urdu topic identification. Hence, we studied LDA deeply for Urdu topic identification at two levels: Variational Bayes (VB) based LDA for Urdu (VB-ULDA) with stemmer and without stemmer. Experiments are performed on a self-created massive number of Urdu documents in four different corpora. Experimental study shows that VB-ULDA outperformed in the identification of topics from Urdu text documents as compared to existing Urdu LDA (ULDA) in terms of accuracy and efficiency and results also reveal the high impact of stemming algorithm in Urdu topic identification.","PeriodicalId":121030,"journal":{"name":"2018 24th International Conference on Automation and Computing (ICAC)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123978305","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper developed a set of intelligent system technology of real time detection of traffic signal running state and remote alarm for fault information, aimed at the hot and difficult problems which are caused by traffic signal running faults in Urban Road intersection through the analysis of the mechanism of those faults. This set of system technology determines the state of the traffic light by detecting the sub-voltage signal in the output section of the traffic signal controller terminals. If it finds an abnormal situation, it will alarm remotely automatically. The technology was authorized for the patent of the Chinese invention in 2018.
{"title":"Real Time Detection of Traffic Signal Running State and Remote Alarm for Fault Information at Road Intersection","authors":"Bing Wang, Junyou Sun, Wenzhe Wang, Zhengfang Xu, Tao Tian, Yiyi Wang, Ji’ao Wei","doi":"10.23919/IConAC.2018.8748996","DOIUrl":"https://doi.org/10.23919/IConAC.2018.8748996","url":null,"abstract":"This paper developed a set of intelligent system technology of real time detection of traffic signal running state and remote alarm for fault information, aimed at the hot and difficult problems which are caused by traffic signal running faults in Urban Road intersection through the analysis of the mechanism of those faults. This set of system technology determines the state of the traffic light by detecting the sub-voltage signal in the output section of the traffic signal controller terminals. If it finds an abnormal situation, it will alarm remotely automatically. The technology was authorized for the patent of the Chinese invention in 2018.","PeriodicalId":121030,"journal":{"name":"2018 24th International Conference on Automation and Computing (ICAC)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129380552","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.23919/IConAC.2018.8749112
Thanmayee Karimireddy, Sijing Zhang
Reliable transmission of the control packets is one of the key requirements of deploying an Industrial Wireless Network (IWN) for automation purposes. The use of error-prone wireless channel, transmission of control packets having hard real-time traffic over IWN have made reliable transmission assurance highly challenging. This paper intends in addressing this challenge through reliability optimization of the hard real-time traffic transmitted over IWN. ReliaMAC is a novel scheme that is proposed to support reliable transmission of hard real-time traffic using redundancy bits added to each double MAC frame. Optimization of transmission reliability is used to identify the optimum number of nodes in an IWN that can support reliable transmission of the hard real-time traffic to a maximum extent. Network simulation results revealed the effectiveness of ReliaMAC in improving reliability of hard real-time communication on IWNs.
{"title":"Optimization of Real-Time Transmission Reliability on Wireless Industrial Automation Networks","authors":"Thanmayee Karimireddy, Sijing Zhang","doi":"10.23919/IConAC.2018.8749112","DOIUrl":"https://doi.org/10.23919/IConAC.2018.8749112","url":null,"abstract":"Reliable transmission of the control packets is one of the key requirements of deploying an Industrial Wireless Network (IWN) for automation purposes. The use of error-prone wireless channel, transmission of control packets having hard real-time traffic over IWN have made reliable transmission assurance highly challenging. This paper intends in addressing this challenge through reliability optimization of the hard real-time traffic transmitted over IWN. ReliaMAC is a novel scheme that is proposed to support reliable transmission of hard real-time traffic using redundancy bits added to each double MAC frame. Optimization of transmission reliability is used to identify the optimum number of nodes in an IWN that can support reliable transmission of the hard real-time traffic to a maximum extent. Network simulation results revealed the effectiveness of ReliaMAC in improving reliability of hard real-time communication on IWNs.","PeriodicalId":121030,"journal":{"name":"2018 24th International Conference on Automation and Computing (ICAC)","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116357977","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.23919/IConAC.2018.8749054
Haiyong Chen, Xiaofang Zhang, Jiali Liu, Huifang Zhao, Peng Yang
Scratch inspection has become a challenging problem in the detection of multicrystalline solar cells surface quality because the scratches in inhomogeneous textured surfaces are usually shallow and weak. Thus, this paper presents a novel framework for detecting vague scratches in the complex inhomogeneous surface texture of multicrystalline solar cell. Firstly, an enhanced texture energy measure is used for highlighting candidate scratch defcects information, and simultaneously suppressing inhomogeneous surface texture information. Then, a robust structural-texture decomposition method with an adaptive parameter is employed to capture the meaningful structure information from the enhanced image. Futheremore, an optimal threshold from a Otsu's threshold segmentation method is used to distinguish defect from the background. Finally, some experimental results have shown the proposed method can effectively detecte vague scratches in multicrystalline solar cell surface.
{"title":"Robust Visual Detection for Vague Scratches defect in inhomogeneous surface","authors":"Haiyong Chen, Xiaofang Zhang, Jiali Liu, Huifang Zhao, Peng Yang","doi":"10.23919/IConAC.2018.8749054","DOIUrl":"https://doi.org/10.23919/IConAC.2018.8749054","url":null,"abstract":"Scratch inspection has become a challenging problem in the detection of multicrystalline solar cells surface quality because the scratches in inhomogeneous textured surfaces are usually shallow and weak. Thus, this paper presents a novel framework for detecting vague scratches in the complex inhomogeneous surface texture of multicrystalline solar cell. Firstly, an enhanced texture energy measure is used for highlighting candidate scratch defcects information, and simultaneously suppressing inhomogeneous surface texture information. Then, a robust structural-texture decomposition method with an adaptive parameter is employed to capture the meaningful structure information from the enhanced image. Futheremore, an optimal threshold from a Otsu's threshold segmentation method is used to distinguish defect from the background. Finally, some experimental results have shown the proposed method can effectively detecte vague scratches in multicrystalline solar cell surface.","PeriodicalId":121030,"journal":{"name":"2018 24th International Conference on Automation and Computing (ICAC)","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115628306","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.23919/IConAC.2018.8749081
Haiying Qi, A. Ertiame, Kingsley Madubuike, Dingli Yu, J. Gomm
A fault diagnosis method for nonlinear systems is developed in this paper using a designed nonlinear state observer. In the observer system a neural network is utilized to estimate the possible fault on-line. It is proved that when the nonlinear observer output converges to the system states, the on-line estimator will converge to the time varying faults. In this way, not only that the occurring fault can be detected, the size and waveform of the fault can be estimated to achieve fault identification, which is very useful when the fault tolerant control will be further developed. The developed fault diagnosis method is applied to a continuous stirred tank reactor (CSTR) process with some simulated faults. Simulation results demonstrate the effectiveness of the fault diagnosis method.
{"title":"Nonlinear Observer Fault Detection for a Multivariable Process Using a Learning Methodology","authors":"Haiying Qi, A. Ertiame, Kingsley Madubuike, Dingli Yu, J. Gomm","doi":"10.23919/IConAC.2018.8749081","DOIUrl":"https://doi.org/10.23919/IConAC.2018.8749081","url":null,"abstract":"A fault diagnosis method for nonlinear systems is developed in this paper using a designed nonlinear state observer. In the observer system a neural network is utilized to estimate the possible fault on-line. It is proved that when the nonlinear observer output converges to the system states, the on-line estimator will converge to the time varying faults. In this way, not only that the occurring fault can be detected, the size and waveform of the fault can be estimated to achieve fault identification, which is very useful when the fault tolerant control will be further developed. The developed fault diagnosis method is applied to a continuous stirred tank reactor (CSTR) process with some simulated faults. Simulation results demonstrate the effectiveness of the fault diagnosis method.","PeriodicalId":121030,"journal":{"name":"2018 24th International Conference on Automation and Computing (ICAC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114804410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.23919/IConAC.2018.8749077
Emilios Leonidas, Yuchun Xu
The inspection of railway tunnels can be time-consuming and costly, relying on manual inspection for the most part that tends to become inefficient with time. The operational environment of tunnels is unaccommodating to the inspecting personnel, by exposing them to dust, humidity, and absence of natural lighting. The purpose of this work is to develop a robotic system to automatically detect for cracks on the tunnel's concrete surfaces. The system will utilize visual inspection methods, using computer vision image processing algorithm for the detection of cracks. Within this work, a concept for a robotic system's prototype, along with developed imaged processing techniques, and conducted experiments used to test and identify the effectiveness and limitations of the vision system's capabilities in crack detection on a mimicked railway tunnel concrete wall. The experimental results have provided comprehensive data to prove the feasibility of such a system for use in automated railway tunnel inspections.
{"title":"The Development of an Automatic Inspection System Used for the Maintenance of Rail Tunnels","authors":"Emilios Leonidas, Yuchun Xu","doi":"10.23919/IConAC.2018.8749077","DOIUrl":"https://doi.org/10.23919/IConAC.2018.8749077","url":null,"abstract":"The inspection of railway tunnels can be time-consuming and costly, relying on manual inspection for the most part that tends to become inefficient with time. The operational environment of tunnels is unaccommodating to the inspecting personnel, by exposing them to dust, humidity, and absence of natural lighting. The purpose of this work is to develop a robotic system to automatically detect for cracks on the tunnel's concrete surfaces. The system will utilize visual inspection methods, using computer vision image processing algorithm for the detection of cracks. Within this work, a concept for a robotic system's prototype, along with developed imaged processing techniques, and conducted experiments used to test and identify the effectiveness and limitations of the vision system's capabilities in crack detection on a mimicked railway tunnel concrete wall. The experimental results have provided comprehensive data to prove the feasibility of such a system for use in automated railway tunnel inspections.","PeriodicalId":121030,"journal":{"name":"2018 24th International Conference on Automation and Computing (ICAC)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127151892","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.23919/IConAC.2018.8749099
Rida Rashid, M. A. Shah
Internet of Things (IoT) is the combination or collection of different devices, wearable, appliances and other items having sensors, actuators and software etc. which makes them able to connect with each other through the Internet and exchange or share data. The medical/healthcare industry is leading the list to adopt the IoT. Usage of the IoT-based body sensors is becoming more popular and common between people for continuous monitoring and medical healthcare to perform real-time actions in case of emergencies. In this paper, we propose an application method called EK-healthcare model in which patients' data can be sent through mobile phone SMS as well as through Internet to get emergency services. This paper incorporates new and enhanced features in our existing research [1] so that the patients can get emergency services in case there is no Internet access. The results show that incorporating the enhanced features reduces the response time, increases the security and is reliable.
{"title":"EK-Healthcare: Effectiveness of IoT in the Medical Field with Enhanced Features","authors":"Rida Rashid, M. A. Shah","doi":"10.23919/IConAC.2018.8749099","DOIUrl":"https://doi.org/10.23919/IConAC.2018.8749099","url":null,"abstract":"Internet of Things (IoT) is the combination or collection of different devices, wearable, appliances and other items having sensors, actuators and software etc. which makes them able to connect with each other through the Internet and exchange or share data. The medical/healthcare industry is leading the list to adopt the IoT. Usage of the IoT-based body sensors is becoming more popular and common between people for continuous monitoring and medical healthcare to perform real-time actions in case of emergencies. In this paper, we propose an application method called EK-healthcare model in which patients' data can be sent through mobile phone SMS as well as through Internet to get emergency services. This paper incorporates new and enhanced features in our existing research [1] so that the patients can get emergency services in case there is no Internet access. The results show that incorporating the enhanced features reduces the response time, increases the security and is reliable.","PeriodicalId":121030,"journal":{"name":"2018 24th International Conference on Automation and Computing (ICAC)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125325664","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.23919/IConAC.2018.8749092
Hongjun Li, M. Barão, Luís Rato
This paper focuses on dynamic environments for mobile robots and proposes a new mapping method combining hidden Markov models (HMMs) and Markov random fields (MRFs). Grid cells are used to represent the dynamic environment. The state change of every grid cell is modelled by an HMM with an unknown transition matrix. MRFs are applied to consider the dependence between different transition matrices. The unknown parameters are learnt from not only the corresponding observations but also its neighbours. Given the dependence, parameter maps are smooth. Expectation maximization (EM) is applied to obtain the best parameters from observations. Finally, a simulation is done to evaluate the proposed method.
{"title":"Mapping dynamic environments using Markov random field models","authors":"Hongjun Li, M. Barão, Luís Rato","doi":"10.23919/IConAC.2018.8749092","DOIUrl":"https://doi.org/10.23919/IConAC.2018.8749092","url":null,"abstract":"This paper focuses on dynamic environments for mobile robots and proposes a new mapping method combining hidden Markov models (HMMs) and Markov random fields (MRFs). Grid cells are used to represent the dynamic environment. The state change of every grid cell is modelled by an HMM with an unknown transition matrix. MRFs are applied to consider the dependence between different transition matrices. The unknown parameters are learnt from not only the corresponding observations but also its neighbours. Given the dependence, parameter maps are smooth. Expectation maximization (EM) is applied to obtain the best parameters from observations. Finally, a simulation is done to evaluate the proposed method.","PeriodicalId":121030,"journal":{"name":"2018 24th International Conference on Automation and Computing (ICAC)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124915531","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.23919/IConAC.2018.8749123
Fangmin Cheng, Suihuai Yu, Jianjie Chu, Jiashuang Fan
In order to realize the optimal allocation of collaborative manufacturing resources for 3D printing cloud service platform, a solution for manufacturing resource optimization bi-level programming is proposed. Based on the analysis of the process of 3D printing innovation manufacturing tasks and the characteristics of 3D printing manufacturing methods, considering the interests of customers and the interests of the enterprise comprehensively, the company's manufacturing capabilities are used to reflect the interests of customers, and formulas for formulating the manufacturing capabilities of enterprises and the economic benefits of enterprises are proposed and constructed. The manufacturing resources are optimized for a bi-level planning model. The simulated anneal arithmetic is used to solve the optimal model. Taking an model car manufacturing task on the platform as an example, the feasibility and effectiveness of the method are verified.
{"title":"Research on Manufacturing Resources Optimal Allocation Strategy of 3D Printing Cloud Service Platform","authors":"Fangmin Cheng, Suihuai Yu, Jianjie Chu, Jiashuang Fan","doi":"10.23919/IConAC.2018.8749123","DOIUrl":"https://doi.org/10.23919/IConAC.2018.8749123","url":null,"abstract":"In order to realize the optimal allocation of collaborative manufacturing resources for 3D printing cloud service platform, a solution for manufacturing resource optimization bi-level programming is proposed. Based on the analysis of the process of 3D printing innovation manufacturing tasks and the characteristics of 3D printing manufacturing methods, considering the interests of customers and the interests of the enterprise comprehensively, the company's manufacturing capabilities are used to reflect the interests of customers, and formulas for formulating the manufacturing capabilities of enterprises and the economic benefits of enterprises are proposed and constructed. The manufacturing resources are optimized for a bi-level planning model. The simulated anneal arithmetic is used to solve the optimal model. Taking an model car manufacturing task on the platform as an example, the feasibility and effectiveness of the method are verified.","PeriodicalId":121030,"journal":{"name":"2018 24th International Conference on Automation and Computing (ICAC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125524270","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.23919/ICONAC.2018.8749012
M. Ren, Qichun Zhang, Jian-hang Zhang
Probability density function (PDF) control strategy investigates the controller design approaches in order to to realise a desirable distributions shape control of the random variables for the stochastic processes. Different from the existing stochastic optimisation and control methods, the most important problem of PDF control is to establish the evolution of the PDF expressions of the system variables. Once the relationship between the control input and the output PDF is formulated, the control objective can be described as obtaining the control input signals which would adjust the system output PDFs to follow the pre-specified target PDFs. This paper summarises the recent research results of the PDF control while the controller design approaches can be categorised into three groups: 1) system model-based direct evolution PDF control; 2) model-based distribution-transformation PDF control methods and 3) data-based PDF control. In addition, minimum entropy control, PDF-based filter design, fault diagnosis and probabilistic decoupling design are also introduced briefly as extended applications in theory sense.
{"title":"A Survey of the Probability Density Function Control for Stochastic Dynamic Systems","authors":"M. Ren, Qichun Zhang, Jian-hang Zhang","doi":"10.23919/ICONAC.2018.8749012","DOIUrl":"https://doi.org/10.23919/ICONAC.2018.8749012","url":null,"abstract":"Probability density function (PDF) control strategy investigates the controller design approaches in order to to realise a desirable distributions shape control of the random variables for the stochastic processes. Different from the existing stochastic optimisation and control methods, the most important problem of PDF control is to establish the evolution of the PDF expressions of the system variables. Once the relationship between the control input and the output PDF is formulated, the control objective can be described as obtaining the control input signals which would adjust the system output PDFs to follow the pre-specified target PDFs. This paper summarises the recent research results of the PDF control while the controller design approaches can be categorised into three groups: 1) system model-based direct evolution PDF control; 2) model-based distribution-transformation PDF control methods and 3) data-based PDF control. In addition, minimum entropy control, PDF-based filter design, fault diagnosis and probabilistic decoupling design are also introduced briefly as extended applications in theory sense.","PeriodicalId":121030,"journal":{"name":"2018 24th International Conference on Automation and Computing (ICAC)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131646225","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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