Relevant bibliographies by topics / Automatic control

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Automatic control'

Author: Grafiati
Published: 4 June 2021
Last updated: 29 July 2024

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Journal articles on the topic "Automatic control"

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Chikkodi, Manoj Basavraj, Shreya Atul Karawade, Jainab Shahabuddin Shikalga, and Dr S. B. Patil. "Automatic Gate Control System." International Journal of Research Publication and Reviews 5, no. 3 (March 9, 2024): 3878–82. http://dx.doi.org/10.55248/gengpi.5.0324.0794.

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Baranov, L. A. "AUTOMATIC CONTROL OF METRO TRAINS." World of Transport and Transportation 16, no. 3 (June 28, 2018): 156–65. http://dx.doi.org/10.30932/1992-3252-2018-16-3-14.

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For the English abstract and full text of the article please see the attached PDF-File (English version follows Russian version).ABSTRACT The experience of development of domestic automatic traffic control systems for metro trains is analyzed, taking into account high intensity and low redundancy of the line capacity necessary to compensate for disturbances. A brief overview of development of an automated control system is given; the dynamics of changes in the systems of automatic train operation is shown. The analysis of the transformation of algorithms for centralized control of metro trains, the features of time-travel controllers, the requirements for construction of technical means for determining the distance traveled and the speed regime are given. Keywords: metro, automatic traffic control system, dynamics of development, safety, automatic train operation, time-travel controllers, algorithms.
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Prof.S.B.Gholap, Prof S. B. Gholap, and Nishikant Tukaram Bhosale. "Automatic Energy Metering & Control Using Zigbee." Indian Journal of Applied Research 3, no. 7 (October 1, 2011): 215–17. http://dx.doi.org/10.15373/2249555x/july2013/67.

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Patil, Miss Snehal, Miss Komal Jadhav, and Miss Rutuja Chinchawde Miss Aditi Patil Mr Sagar V. Chavan. "Automatic Railway Gate Control System Using Android." International Journal of Trend in Scientific Research and Development Volume-2, Issue-6 (October 31, 2018): 820–24. http://dx.doi.org/10.31142/ijtsrd18741.

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Kumar, Dr S. Senthil, Sathiyaprakash K, and Vijay R. Sudharsan D. "Automatic Headlight Control with Central Locking System." International Journal of Trend in Scientific Research and Development Volume-2, Issue-2 (February 28, 2018): 70–72. http://dx.doi.org/10.31142/ijtsrd8217.

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Menasce, D. A. "Automatic QoS control." IEEE Internet Computing 7, no. 1 (January 2003): 92–95. http://dx.doi.org/10.1109/mic.2003.1167347.

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Evans, Lee. "Automatic blind control." Electronic Systems News 1989, no. 1 (1989): 25. http://dx.doi.org/10.1049/esn.1989.0010.

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Shi, Qing Ping, and Yi Min Mo. "Design of Double Closed Loop Control System of Automatic Clutch." Advanced Materials Research 383-390 (November 2011): 237–42. http://dx.doi.org/10.4028/www.scientific.net/amr.383-390.237.

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The control system of automatic clutch is based on the manual gearbox instead of the clutch pedal. It realizes automated clutch and manual shifting. The essence of automatic clutch is how to control the motor drive unit to achieve the implementation of the automatic clutch separation and bonding, and thus automatic speed technology of motor is the key. In this paper, combining the characteristics of micro-car, a double-loop automatic motor speed control system is designed. The design is proved reasonable and feasible through simulation based on MATLAB.
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Lebedev, Dmitriy V., and Victor L. Timchenko. "The Twentieth International Conference on Automatic Control "AUTOMATICS-2013"." Journal of Automation and Information Sciences 45, no. 12 (2013): 68–69. http://dx.doi.org/10.1615/jautomatinfscien.v45.i12.70.

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Bialevich, A. V., V. N. Grishchuk, M. M. Tatur, and Y. F. Mikhalkevich. "DEVELOPMENT OF CONTROL ALGORITHMS FRICTION CLUTCHES AUTOMATIC TRANSMISSIONS." Eurasian Journal of Mathematical and Computer Applications 2, no. 1 (2014): 5–13. http://dx.doi.org/10.32523/2306-3172-2014-2-1-5-13.

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Dissertations / Theses on the topic "Automatic control"

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Valle, Danilo Basseto do [UNESP]. "A influência do controlador gupfc no sistema elétrico de potência visando a estabilidade a pequenas perturbações." Universidade Estadual Paulista (UNESP), 2014. http://hdl.handle.net/11449/111129.

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Neste trabalho é proposto um modelo de injeção de potência para o controlador Generalized Unified Power Flow Controller (GUPFC) que permite representá-lo em programas de fluxo de potência e fluxo de potência ótimo. Também é proposto um modelo para a estrutura do sistema de controle do GUPFC que permite representar sua dinâmica em sistemas elétricos de potência. Todas as análises dinâmicas realizadas neste trabalho visam a estabilidade a pequenas perturbações, porém, o modelo de injeção de potência do GUPFC e o modelo de sua estrutura de controle permitem representálo também em um ambiente não linear. A partir das equações algébricas fornecidas pelo modelo de injeção de potência do GUPFC e das equações dinâmicas obtidas a partir da sua estrutura do sistema de controle, é possível analisar a influência que o controlador GUPFC causa no sistema, realizando-se inicialmente uma abordagem estática (em regime permanente), que foi realizada utilizando-se a ferramenta de fluxo de potência expandido. A ferramenta de fluxo de potência expandido trata as variáveis diferenciais como algébricas, para um dado ponto de equilíbrio, ficando o problema restrito a encontrar os zeros de um conjunto de funções não-lineares, cuja solução pode ser obtida através do método de Newton-Raphson, como em um fluxo de potência convencional. Com a solução desse fluxo de potência, pode-se incluir diretamente as correspondentes submatrizes do GUPFC no Modelo de Sensibilidade de Potência (MSP), já que este foi o modelo escolhido para representação de todos os componentes dinâmicos do sistema. Com todos os componentes modelados no MSP, foi realizada uma análise dinâmica do sistema, visando a estabilidade a pequenas perturbações. Para melhorar o desempenho dinâmico do sistema, foi essencial que controladores ESPs e POD fossem inclusos às malhas de controle dos Reguladores Automáticos ...
This thesis proposes a power injection model for the GUPFC (Generalized Power Flow Controller) which is suited for the GUPFC representation in both power flows and optimal power flows analyses. It is also proposed a model for the control system GUPFC that represents its dynamics in electric power systems. This work main aim is the small signal stability analysis. However, the power injection model of the GUPFC and the structure control model could be used in nonlinear environment. The algebraic equations provided by the power injection model of the GUPFC and the dynamical equations obtained from the control model, are used to analyze the influence of the GUPFC on the system, initially executing a static approach (in steady state) using the expanded power flow tools. The expanded power flow considers the differential variables as algebraic, at a given equilibrium point, and the problem is to find the zeros of a nonlinear function set, whose solution can be obtained by a Newton Raphson method as in a conventional power flow. From the solution of the power flow, it is possible to include directly the corresponding sub matrices of the GUPFC in to the Power Sensitive Model (PSM), which is the chosen model to represent all the dynamic components of the system. Once, every component is modeled in the PSM, a small signal stability is performed. The ESP and POD controllers are included in to the control loop of the Automatic Voltage Regulators (AVR) and the GUPFC respectively, to improve the dynamical performance of the system. To provide additional damping to the unstable or little damped modes and increase the stability limits, a Particle Swarm Optimization (PSO) technique is used to provide the parameters of the supplementary damping controller. Two objective functions are proposed to lead the problem solution to good results and then compared to well known classical techniques
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Svensson, Andreas. "Automatic Generation of Control Code for Flexible Automation." Thesis, Linköpings universitet, Reglerteknik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-84412.

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In order to quickly adapt the production on a production line to the demand, there is a needfor flexibility. A tool designed for this purpose, p-sop, has been developed at UniversityWest. This thesis deals with implementation of p-sop in a demonstrator, and developmentof a framework for priority policies as well as a graphical user interface to p-sop. The prioritypolicies evaluated in the demonstrator did note give an increased efficiency, and thegraphical user interface is shown to be well suited for the demonstrator and p-sop in general.
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Erikson, Lars. "Automatic Well Control Simulations." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for petroleumsteknologi og anvendt geofysikk, 2012. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-18381.

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Every year kick incidents occur, maybe best remembered by the Macondo blowout in April 2010 resulting in devastating oil spills throughout the Gulf of Mexico. Well control is one of the most important factors in any drilling operation, preventing disastrous blowouts where people and the environment will be affected. The development of new technologies has increased significantly, lowering the risks of blowouts, mostly because of the reliability of blowout preventers. Better hardware systems have been developed and better materials has increased the performance during critical parts of an operation. There are several causes why we encounter kicks; not keeping the hole full, lost circulation, swabbing, underbalanced pressures, trapped fluids/pressures and mechanical failures. Before an actual kick, there are warning signs that might occur and knowing how to interpret positive indicators of kick is very important. Pit gain, increase in return flow rate and abnormalities in drillpipe pressure are all signs that formation fluid has entered the well. When experiencing a kick, procedures to reduce the danger and the non productive time have to be started. Firstly the well has to be shut in by either the hard shut-in method or the soft shut-in method. Then the influx has to be circulated out of the well by the use of either the Driller’s Method or the Wait and Weight Method. To better understand and visualize the behavior of formation fluid entering the well, the simulation program Drillbench Kick has been used. The soft shut-in has been compared against the hard shut-in and the Driller’s Method has been run against the Wait & Weight Method. The simulations have been performed with both oil based mud and water based mud.
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Enoiu, Eduard. "Automatic test generation for industrial control software." Doctoral thesis, Mälardalens högskola, Inbyggda system, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-33364.

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Since the early days of software testing, automatic test generation has been suggested as a way of allowing tests to be created at a lower cost. However, industrially useful and applicable tools for automatic test generation are still scarce. As a consequence, the evidence regarding the applicability or feasibility of automatic test generation in industrial practice is limited. This is especially problematic if we consider the use of automatic test generation for industrial safety-critical control systems, such as are found in power plants, airplanes, or trains. In this thesis, we improve the current state of automatic test generation by developing a technique based on model-checking that works with IEC 61131-3 industrial control software. We show how automatic test generation for IEC 61131-3 programs, containing both functional and timing information, can be solved as a model checking problem for both code and mutation coverage criteria.  The developed technique has been implemented in the CompleteTest tool. To evaluate the potential application of our technique, we present several studies where the tool is applied to industrial control software. Results show that CompleteTest is viable for use in industrial practice; it is efficient in terms of the time required to generate tests that satisfy both code and mutation coverage and scales well for most of the industrial programs considered. However, our results also show that there are still challenges associated with the use of automatic test generation. In particular, we found that while automatically generated tests, based on code coverage, can exercise the logic of the software as well as tests written manually, and can do so in a fraction of the time, they do not show better fault detection compared to manually created tests. Specifically, it seems that manually created tests are able to detect more faults of certain types (i.e, logical replacement, negation insertion and timer replacement) than automatically generated tests. To tackle this issue, we propose an approach for improving fault detection by using mutation coverage as a test criterion. We implemented this approach in the CompleteTest tool and used it to evaluate automatic test generation based on mutation testing. While the resulting tests were more effective than automatic tests generated based on code coverage, in terms of fault detection, they still were not better than manually created tests. In summary, our results highlight the need for improving the goals used by automatic test generation tools. Specifically, fault detection scores could be increased by considering some new mutation operators as well as higher-order mutations. Our thesis suggests that automatically generated test suites are significantly less costly in terms of testing time than manually created test suites. One conclusion, strongly supported by the results of this thesis, is that automatic test generation is efficient but currently not quite as effective as manual testing. This is a significant progress that needs to be further studied; we need to consider the implications and the extent to which automatic test generation can be used in the development of reliable safety-critical systems.
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Fernandes, Ueslei Barbosa [UNESP]. "Controle com Estrutura Variável e Modos Deslizantes Aplicado em Sistema de Suspensão Ativa." Universidade Estadual Paulista (UNESP), 2013. http://hdl.handle.net/11449/87150.

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
Utilizando as técnicas de Controle com Estrutura Variável e Modos Deslizantes (CEV/MD) é proposta aqui uma aplicação das mesmas em um sistema que representa 1/4 do modelo de Suspensão Ativa de um veículo. Teoria e projeto de preditores contínuo são apresentados com o intuito de obter bom desempenho na presença de atrasos no controle ou atrasos na aquisição de dados do sistema. Com a finalidade de verificar a robustez do CEV/MD é feita uma comparação com o controle LQR (Linear Quadratic Regulator) apresentando os resultados de simulações e implementações em bancada para algumas condições de operação, levando em consideração a presença de incertezas no sistema
Using the techniques of Control with Variable Structure and Sliding Mode (VSC/SM) is proposed here an implementation in a system that represents 1/4 of the model of an Active Suspension of a vehicle. Theory and design of continuous predictors are presented in order to obtain good performance in the presence of control delays or delays in the data acquisition system. In order to verify the robustness of the VSC/SM a comparison with the LQR control (Linear Quadratic Regulator) in presented good results of simulations and implementations for some operating conditions, taking into account the presence of uncertainties in the system, illustrated the proposed method
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Ainscough, D. M. "Automatic control of weld penetration." Thesis, University of Liverpool, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.234822.

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RINALDI, FILIPPO. "Automatic control of a multirotor." Doctoral thesis, Politecnico di Torino, 2014. http://hdl.handle.net/11583/2539287.

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Objective of this thesis is to describe the design and realisation phases of a multirotor to be used for low risk and cost aerial observation. Starting point of this activity was a wide literature study related to the technological evolution of multirotors design and to the state of the art. Firstly the most common multirotor configurations were defined and, according to a size and performance based evaluation, the most suitable one was chosen. A detailed computer aided design model was drawn as basis for the realisation of two prototypes. The realised multirotors were “X-shaped” octorotors with eight coaxially coupled motors. The mathematical model of the multirotor dynamics was studied. “Proportional Integral Derivative” and “Linear Quadratic” algorithms were chosen as techniques to regulate the attitude dynamics of the multirotor. These methods were tested with a nonlinear model simulation developed in the Matlab Simulink environment. In the meanwhile the Arduino board was selected as the best compromise between costs and performance and the above mentioned algorithms were implemented using this platform thanks to its main characteristic of being completely “open source”. Indeed the multirotor was conceived to be a serviceable tool for the public utility and, at the same time, to be an accessible device for research and studies. The behaviour of the physical multirotor was evaluated with a test bench designed to isolate the rotation about one single body axis at a time. The data of the experimental tests were gathered in real time using a custom Matlab code and several indoor tests allowed the “fine tuning” of the controllers gains. Afterwards a portable “ground station” was conceived and realised in adherence with the real scenarios users needs. Several outdoor experimental flights were executed with successful results and the data gathered during the outdoor tests were used to evaluate some key performance indicators as the endurance and the maximum allowable payload mass. Then the fault tolerance of the control system was evaluated simulating and experimenting the loss of one motor; even in this critical condition the system exhibited an acceptable behaviour. The reached project readiness allowed to meet some potential users as the “Turin Fire Department” and to cooperate with them in a simulated emergency. During this event the multirotor was used to gather and transmit real time aerial images for an improved “situation awareness”. Finally the study was extended to more innovative control techniques like the neural networks based ones. Simulations results demonstrated their effectiveness; nevertheless the inherent complexity and the unreliability outside the training ranges could have a catastrophic impact on the airworthiness. This is a factor that cannot be neglected especially in the applications related to flying platforms. Summarising, this research work was addressed mainly to the operating procedures for implementing automatic control algorithms to real platforms. All the design aspects, from the preliminary multirotor configuration choice to the tests in possible real scenarios, were covered obtaining performances comparable with other commercial of-the-shelf platforms.
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Almqvist, Håkan. "Automatic bucket fill." Thesis, Linköping University, Department of Electrical Engineering, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-51490.

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This report contains the first step towards a complete, fully autonomous, robust bucket fill regulator for a wheel loader working with gravel materials.

The bucket fill procedure is the most critical part of the work cycle of a wheel loader. It is a task that has a long learning curve and also is weary, even for experienced drivers. The automation of it could therefore have a big impact on the cost effectiveness for wheel loaders and for the comfort of the drivers.

In this report, a suggestion for the complete solution of an automatic bucket fill regulator is presented. A regulator prototype is also constructed with a Volvo L120F as the base. The scope for the prototype is limited to one type of gravel material and quite optimal conditions for the wheel loader, but the complete solution is kept in mind throughout the synthesis. The constructed regulator is prepared for expansion, but the implementation and field testing is limited to the scope.

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Erzini, Gabriel de Castro. "Automatic control of an aquaculture system." Master's thesis, Universidade de Aveiro, 2016. http://hdl.handle.net/10773/16545.

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Mestrado em Engenharia Mecânica
This thesis covers the automated aquaculture scenario around the world and speci cally Portugal. With research done, a case study and laboratory work, the goal is to create a reliable remote control system capable of not only controlling the physical variables within an aquaculture system but monitor and rectify unwanted situations.
Esta tese trata-se de aquacultura pelo mundo e Portugal especi camente. Com uma pesquisa feita, um "case study" e trabalho laboratorial, o objetivo é criar um sistema de controlo remoto capaz de controlar as variáveis físicas dentro de um sistema de aquacultura e monitorizar e reti car situações indesejadas.
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PICCOLI, FLAVIO. "Visual Anomaly Detection For Automatic Quality Control." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2019. http://hdl.handle.net/10281/241219.

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Il controllo di qualità automatico nei processi di produzione è uno degli elementi chiave della quarta rivoluzione industriale che porterà alla creazione della cosiddetta industria 4.0. In questo contesto, un elemento fondamentale è il rilievo di difetti, anomalie o guasti del prodotto in tempo compatibile con quello di produzione. Questa tesi si focalizza esattamente su questo tema: il rilevamento delle anomalie per il controllo automatico di qualità, attraverso l'analisi di immagini raffiguranti il prodotto sotto ispezione. Questa analisi verrà fatta tramite l'utilizzo di tecniche di machine learning, in particolare tramite l'uso di reti neurali convoluzionali (CNN) che sono uno strumento molto potente utilizzato nell'analisi di immagini. In primo luogo questa tesi esegue uno studio estensivo sull'argomento per introdurre il lettore e propone una una sequenza di elaborazioni per il rilevamento automatico di anomalie. Le elaborazioni sono: 1) il miglioramento delle immagini per evidenziare i difetti; 2) il rilievo delle anomalie. La prima elaborazione viene risolta utilizzando una trasformazione colore globale in grado di rimuovere effetti di luce indesiderati ed aumentare il contrasto. Questa trasformazione è ottenuta grazie all'utilizzo di SpliNet, un metodo basato su CNN che viene presentato in questa tesi, che è in grado di migliorare le immagini di input inferendo i parametri di un insieme di spline. La seconda elaborazione, e cioè il rilievo di anomalie, è stata affrontata proponendo due diversi metodi. Il primo ha l'obiettivo di modellare la normalità imparando un dizionario ed utilizzandolo in fase di test per determinare il grado di abnormalità di una immagine incognita. Questo metodo è basato su CNNs, che notoriamente richiedono grandi quantità di dati per essere addestrate. Tuttavia l'algoritmo proposto è in grado di lavorare su un insieme di immagini di addestramento molto piccolo (nell'ordine delle cinque immagini). Il metodo presentato aumenta le performances rispetto allo stato dell'arte relativo al dataset delle nanofibre acquisite con microscopio SEM del 5%, ottenendo un'area sottesa alla curva di 97.4%. Il secondo metodo proposto usa un insieme di trasformazioni locali per restaurare le immagini di input. Specificamente, queste trasformazioni sono un insieme di polinomi di grado due, i cui parametri vengono determinati attraverso l'utilizzo di una rete neurale convoluzionale. Il metodo è progettato in maniera tale che è possibile, attraverso un parametro, modulare l'accuratezza e il tempo di calcolo in maniera tale da soddisfare le esigenze dell'utente finale. Per affrontare la mancanza di dati che affligge il campo del rilievo automatico di anomalie, è stato presentato un metodo innovativo di aumento dei dati basato su deep learning. Questo metodo è in grado di generare migliaia di nuovi campioni sintetici a partire da pochi dati reali e pertanto è particolarmente adatto per aumentare dataset di tipo long-tail. La qualità dei campioni sintetizzati è stata dimostrata misurando l'accuratezza delle performance di algoritmi di machine learning addestrati sul dataset aumentato. Questo metodo è stato utilizzato per espandere un dataset di immagini raffiguranti asfalti difettosi. In questo contesto, l'utilizzo del dataset aumentato ha portato ad un incremento delle performance medie sulla segmentazione di anomalie fino a 17.5 punti percentuali. Nel caso di classi aventi bassa cardinalità, l'aumento arriva fino a 54.5 punti percentuali. Tutti i metodi presentati sovraperformano lo stato dell'arte.
Automatic quality control is one of the key ingredients for the fourth industrial revolution that will lead to the development of the so called industry 4.0. In this context, a crucial element is a production-compatible-time detection of defects, anomalies or product failures. This thesis focuses exactly on this theme: anomaly detection for industrial quality inspection, ensured through the analysis of images depicting the product under inspection. This analysis will be done through the use of machine learning, and especially through the use of convolutional neural networks (CNNs), a powerful instrument used in image analysis. This thesis starts with an extensive study on the subject to introduce the reader and to propose a pipeline for automatic anomaly detection. This pipeline is composed by two steps: 1) the enhancement of the input images for highlighting defects; 2) the detection of the anomalies. The first step is addressed with the use of a global color transformation able to remove undesired light effects and to enhance the contrast. This transformation is inferred through the use of SpliNet, a new CNN-based method here presented, that is able to enhance the input images by inferring the parameters of a set of splines. In the context of anomaly detection, two methods are presented. The first one has the aim of modeling normality by learning a dictionary and using it in test time to determine the degree of abnormality of an inquiry image. This method is based on deep learning, which is known to be data-hungry. However, the proposed algorithm is able to work also on very small trainsets (in the order of five images). The presented method boosts the performances of 5% with respect to the state-of-the art for the SEM-acquired nanofibers dataset, achieving an area under curve of 97.4%. The second proposed algorithm is a generative method able to restore the input, creating an anomaly-free version of the inquiry image. This method uses a set of local transforms to restore the input images. Specifically, these transforms are sets of polynomials of degree two, whose parameters are determined through the use of a convolutional neural network. In this context, the method can be tuned with a parameter toward accuracy or speed, for matching the needs of the final user. To address the lack of data that is suffered in this field, a totally new method for data augmentation based on deep learning is presented. This method is able to generate thousands of new synthesized samples starting from a few and thus is particularly suitable for augmenting long-tail datasets. The quality of the synthesized samples is demonstrated by showing the increase in performance of machine learning algorithms trained on the augmented dataset. This method has been employed to enlarge a dataset of defective asphalts. In this context, the use of the augmented dataset permitted to increase the average performance on anomaly segmentation of up to 17.5 percentage points. In the case of classes having a low cardinality, the improvement is up to 54.5 percentage points. For all the methods here presented I show their effectiveness by analyzing the results with the respective state-of-the-art and show their ability in outperforming the existing methods.
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Books on the topic "Automatic control"

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Anderson, Patrick. Control systems: Classical controls. Delhi: Global Media, 2009.

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Palani, S. Automatic Control Systems. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-93445-3.

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Alegre Pérez, Juan Pablo, Santiago Celma Pueyo, and Belén Calvo López. Automatic Gain Control. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-0167-4.

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1930-, Kuo Benjamin C., and Golnaraghi M. F, eds. Automatic control systems. 9th ed. Hoboken, NJ: Wiley, 2010.

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Shawn, Coyle, ed. Automatic flight control. 4th ed. Cambridge, MA: Blackwell Science, 1993.

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Kuo, Benjamin C. Automatic control systems. 6th ed. London: Prentice-Hall, 1991.

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Raven, Francis H. Automatic control engineering. 5th ed. New York: McGraw-Hill, 1995.

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Raven, Francis H. Automatic control engineering. 5th ed. New York: McGraw-Hill, 1995.

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Kuo, Benjamin C. Automatic control systems. 5th ed. Englewood Cliffs, N.J: Prentice-Hall, 1987.

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Raven, Francis H. Automatic control engineering. 4th ed. New York: McGraw-Hill, 1987.

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Book chapters on the topic "Automatic control"

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Calvert, J. R., and R. A. Farrar. "Automatic Control." In An Engineering Data Book, 67–70. London: Macmillan Education UK, 1999. http://dx.doi.org/10.1007/978-1-349-11310-1_9.

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Harris, John. "Automatic Control." In An Introduction to Fuzzy Logic Applications, 92–121. Dordrecht: Springer Netherlands, 2000. http://dx.doi.org/10.1007/978-94-010-9042-1_5.

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Gooch, Jan W. "Automatic Control." In Encyclopedic Dictionary of Polymers, 56. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6247-8_914.

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Isermann, Rolf. "Automatic (Autonomous) Driving." In Automotive Control, 591–607. Berlin, Heidelberg: Springer Berlin Heidelberg, 2021. http://dx.doi.org/10.1007/978-3-642-39440-9_22.

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Kiong, Tan Kok, Wang Qing-Guo, Hang Chang Chieh, and Tore J. Hägglund. "Automatic Tuning." In Advances in PID Control, 99–187. London: Springer London, 1999. http://dx.doi.org/10.1007/978-1-4471-0861-0_4.

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L’Afflitto, Andrea. "Aircraft Automatic Control." In A Mathematical Perspective on Flight Dynamics and Control, 65–87. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-47467-0_3.

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Gooch, Jan W. "Automatic Profile Control." In Encyclopedic Dictionary of Polymers, 56. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6247-8_916.

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Thalmann, Nadia Magnenat, and Daniel Thalmann. "Automatic Motion Control." In Computer Animation, 175–88. Tokyo: Springer Japan, 1990. http://dx.doi.org/10.1007/978-4-431-68105-2_12.

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Wiendahl, Hans-Peter, and Jan-Wilhelm Breithaupt. "Automatic Production Control." In Beyond Manufacturing Resource Planning (MRP II), 335–56. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-662-03742-3_13.

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Weik, Martin H. "automatic gain control." In Computer Science and Communications Dictionary, 84. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_1103.

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Conference papers on the topic "Automatic control"

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"United Kingdom Automatic Control Council (UKACC)." In 2014 UKACC International Conference on Control (CONTROL). IEEE, 2014. http://dx.doi.org/10.1109/control.2014.6915103.

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Merazi-Meksen, Thouraya, Malika Boudraa, and B. Boudraa. "Automatic detection of circular defects during ultrasonic inspection." In 2012 UKACC International Conference on Control (CONTROL). IEEE, 2012. http://dx.doi.org/10.1109/control.2012.6334769.

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Chen, Xiaoqing, and Stephen R. Duncan. "Automatic detection of tap changes on an electricity grid." In 2016 UKACC 11th International Conference on Control (CONTROL). IEEE, 2016. http://dx.doi.org/10.1109/control.2016.7737654.

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Lahlou, Kenza, Sven Inge Oedegaard, Morten Svendsen, Tore Weltzin, Knut Steinar Bjørkevoll, and Bjørn Rudshaug. "Drilling Advisory for Automatic Drilling Control." In SPE/IADC International Drilling Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/204074-ms.

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Abstract This paper describes a system being developed for providing an optimized real-time decision support with automatic forward-looking and what-if simulations. It will address the challenge of achieving automation, better performance, and avoidance of non-productive time (NPT) in drilling operations. It will additionally address the demanding human support currently required in the entire decision support workflow. The approach includes utilization of Model based reasoning in Artificial Intelligence (AI) with a Digital Twin combined with Machine Learning (ML) and advanced 3D visualization which is a key enabler for operation alerts and optimization. Multiple forward-looking and what-if simulations will also be run in real-time to find optimal parameters for flow, rotation and running speed. A Diagnostic module will detect abnormalities and trigger safeguards. Auto-configuration and auto-calibration will be the key elements for Drilling Advisory system and deployment without the need for back-office support. The personnel involved in the operation (drilling contractor, service provider and operator) will be able to quickly provide the necessary operational input and then the system will be auto-calibrated during the operation. Results will be an Advisory Tool providing the operation with an optimal flow, rotation speed and running speed during Drilling, Tripping, Casing/liner/screen running and cement operations in two applications areas: In front of the driller as an Advisory tool for rigs with legacy drilling control systems not capable of receiving automated instructions. Base for providing direct commands and safeguards to rigs with control systems capable of receiving automated commands of optimal flow, rotation speed and running speed.
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Bobbitt, Brock, Stephen Garner, Brenton Cox, John Martens, and Mark Fecke. "Manual vs. Automatic Boiler Controls: A Historical Perspective From Relevant Codes and Standards." In ASME 2017 Power Conference Joint With ICOPE-17 collocated with the ASME 2017 11th International Conference on Energy Sustainability, the ASME 2017 15th International Conference on Fuel Cell Science, Engineering and Technology, and the ASME 2017 Nuclear Forum. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/power-icope2017-3616.

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Advances in computer hardware over the past several decades have helped to expand the capabilities of boiler control systems in power generating applications. These greater capabilities have supported a proliferation of computer controlled boiler functions and, in many cases, replaced human operator functions with automated functions. Nevertheless, the human operator remains a central piece in many modern boiler control systems. One reason the operator is still present in the control room is that computer controls and human operators each have distinct advantages. Consequently, a boiler control system design should balance the best integration of automatic and operator control functions while balancing various requirements and design goals. The following question should then be answered: what roles or functions should be given to the operator vs. to the computer controls? We will address this question by considering the guidance of relevant codes and standards, which have historically influenced control system design for large boilers in power generating applications. An analysis is performed on current and historically relevant standards and codes, including NFPA 85 and its predecessors, to consider how the guidance has changed along with control system technology. The analysis examines provisions directed toward manual and automatic controls to better understand the types of operations that are best-suited for manual functions versus automatic functions. Over time, NFPA 85 and its predecessors responded to the growing automation capabilities by requiring more automatic controls. While the emphasis placed on automatic controls for safety functions has grown, these standards suggest a balance or combination of automatic and manual controls for safety functions. These concepts are considered relative to those of Inherently Safe Design commonly applied in the chemical process industry.
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Pirovolou, Dimitrios, Clinton Dane Chapman, Minh Trang Chau, Hector Arismendi, Mbaga Ahorukomeye, and Juan Penaranda. "Drilling Automation: An Automatic Trajectory Control System." In SPE Digital Energy Conference and Exhibition. Society of Petroleum Engineers, 2011. http://dx.doi.org/10.2118/143899-ms.

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Ejegi, E. E., J. A. Rossiter, and P. Trodden. "A survey of techniques and opportunities in power system automatic generation control." In 2014 UKACC International Conference on Control (CONTROL). IEEE, 2014. http://dx.doi.org/10.1109/control.2014.6915197.

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Liu, Yang, Li Li, Zhenxian Fu, Jiubin Tan, and Kang Li. "Automatic mass balancing of a spacecraft simulator based on non-orthogonal structure." In 2016 UKACC 11th International Conference on Control (CONTROL). IEEE, 2016. http://dx.doi.org/10.1109/control.2016.7737579.

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Chu, Jian, Soovadeep Bakshi, Hansen Qin, Zeyu Yan, and Dongmei Chen. "An Integrated Hardware and Software Platform for Control of Automatic Ground Vehicles." In ASME 2020 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/dscc2020-3334.

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Abstract With the development of factory automation, intelligent manufacturing system technology, and three-dimensional automated warehouses, an automatic ground vehicle (AGV) became an essential part of controlling the discrete logistics management system within a facility. The scope of the AGV application and technical capability have been rapidly developed in recent years. However, it is highly time-consuming and resource-intensive to develop a comprehensive AGV platform in both industrial setting and academic environment to design and control of an AGV system. This paper introduces a platform for conducting AGV research and deployment, which consists of the hardware prototyping and entire software system development. By using this platform, users can readily develop customized AGV systems or verify their self-developed algorithms.
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DeHon, A., T. Knight, and T. Simon. "Automatic impedance control." In 1993 IEEE International Solid-State Circuits Conference Digest of Technical Papers. IEEE, 1993. http://dx.doi.org/10.1109/isscc.1993.280013.

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Reports on the topic "Automatic control"

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Pollack, Martha. Search Control for Automatic Plan Generation. Fort Belvoir, VA: Defense Technical Information Center, January 1998. http://dx.doi.org/10.21236/ada384859.

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Fajardo, Laurie L. Automatic Exposure Control Device for Digital Mammography. Fort Belvoir, VA: Defense Technical Information Center, August 2001. http://dx.doi.org/10.21236/ada403655.

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Fajardo, Laurie L. Automatic Exposure Control Device for Digital Mammography. Fort Belvoir, VA: Defense Technical Information Center, August 2004. http://dx.doi.org/10.21236/ada429043.

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Zykov, A. V., and V. A. Junín. AUTOMATIC CONTROL SYSTEM FOR THE DRUM DRYER. The scientific heritage, 2020. http://dx.doi.org/10.18411/2071-9485-2020-4666.

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Pulliam, Robert, and H. E. Price. Automation and the Allocation of Functions between Human and Automatic Control: General Method. Fort Belvoir, VA: Defense Technical Information Center, January 1985. http://dx.doi.org/10.21236/ada161072.

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Salamandra, Konstantin, and Leonid Tyves. CYCLIC GEAR SHIFTS IN GEARBOXES WITH AUTOMATIC CONTROL. Bulletin of Science and Technical Development, 2018. http://dx.doi.org/10.18411/vntr2018-126-4.

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Lin, Pei-Jan Paul, Phillip Rauch, Stephen Balter, Atsushi Fukuda, Allen Goode, Gary Hartwell, Terry LaFrance, Edward Nickoloff, Jeff Shepard, and Keith Strauss. Functionality and Operation of Fluoroscopic Automatic Brightness Control/Automatic Dose Rate Control Logic in Modern Cardiovascular and Interventional Angiography Systems. AAPM, June 2012. http://dx.doi.org/10.37206/116.

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Theil, E. Simulation of automatic control of MFTF-B neutral beams. Office of Scientific and Technical Information (OSTI), March 1985. http://dx.doi.org/10.2172/5696806.

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Neiers, James W. Harmonizing Automatic Test System Assets, Drivers, and Control Methodologies. Fort Belvoir, VA: Defense Technical Information Center, July 1999. http://dx.doi.org/10.21236/adb247996.

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Feierl, Lukas, and Peter Luidolt. Automated monitoring, failure detection of key components, control strategies and self-learning controls of key components. IEA SHC Task 55, September 2020. http://dx.doi.org/10.18777/ieashc-task55-2020-0005.

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