Relevant bibliographies by topics / Data controllers

Contents

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

Academic literature on the topic 'Data controllers'

Author: Grafiati
Published: 4 June 2021
Last updated: 9 February 2022

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Journal articles on the topic "Data controllers"

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Burnett, Rachel. "Data controllers and data processors." ITNOW 47, no. 5 (September 1, 2005): 34. http://dx.doi.org/10.1093/itnow/bwi108.

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Jianwang, Hong, Ricardo A. Ramirez-Mendoza, and Ruben Morales-Menendez. "Iterative Data-Driven Control for Closed Loop with Two Unknown Controllers." Mathematical Problems in Engineering 2021 (August 3, 2021): 1–11. http://dx.doi.org/10.1155/2021/4827900.

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Iterative idea is combined with data-driven control and is used to design the feedforward controller and feedback controller simultaneously. Consider one closed loop system with two controllers, the classical model-based control holds on the condition of known plant. To alleviate the modeling process for plant, data-driven control is applied to design the two controllers. After these two controllers are parametrized by two unknown parameter vectors, the iterative idea is introduced to identify these two parameter vectors. Furthermore, for more general case of controllers, the closed relations between controllers and expected transfer functions are derived. Then, the iterative idea is also introduced to achieve the controller design. To be of benefit for latter stability analysis, some equities are derived for output-input sensitivity functions with three kinds of disturbances. Generally, after formulating the problem of the controller design as one model-matching problem, the purpose of this paper is threefold. First, we derive that, in case of two parametrized controllers, the iterative idea is performed to identify these two unknown parameter vectors, even when parameters converge to their true values. Second, we show how to design the two controllers iteratively for more general forms and find the closed relations between these controllers and expected closed loop transfer functions. Third, we provide some heuristic considerations on output-input sensitivity functions, which are of benefit for our stability analysis on data-driven control. Finally, one example is given to show the feasibility of our proposed theories.
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Safonov, Michael G., and Fabricio B. Cabral. "Fitting controllers to data." Systems & Control Letters 43, no. 4 (July 2001): 299–308. http://dx.doi.org/10.1016/s0167-6911(01)00112-8.

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Quadros, Mariella M., Ignacio Rubio Scola, and Valter J. S. Leite. "Compensated hybrid PI controllers for sampled-data controlled systems." IFAC-PapersOnLine 51, no. 25 (2018): 240–45. http://dx.doi.org/10.1016/j.ifacol.2018.11.112.

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JUDD, R. P., R. P. VAN TIL, and P. L. STUCKMAN. "Discrete time quantized data controllers." International Journal of Control 46, no. 4 (October 1987): 1225–33. http://dx.doi.org/10.1080/00207178708933964.

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Zhang, Bowei, and Pengcheng Liu. "Control and benchmarking of a 7-DOF robotic arm using Gazebo and ROS." PeerJ Computer Science 7 (March 23, 2021): e383. http://dx.doi.org/10.7717/peerj-cs.383.

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The robot controller plays an important role in controlling the robot. The controller mainly aims to eliminate or suppress the influence of uncertain factors on the control robot. Furthermore, there are many types of controllers, and different types of controllers have different features. To explore the differences between controllers of the same category, this article studies some controllers from basic controllers and advanced controllers. This article conducts the benchmarking of the selected controller through pre-set tests. The test task is the most commonly used pick and place. Furthermore, to complete the robustness test, a task of external force interference is also set to observe whether the controller can control the robot arm to return to a normal state. Subsequently, the accuracy, control efficiency, jitter and robustness of the robot arm controlled by the controller are analyzed by comparing the Position and Effort data. Finally, some future works of the benchmarking and reasonable improvement methods are discussed.
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Bainbridge, David, and Graham Pearce. "Data controllers and the new data protection law." Computer Law & Security Review 14, no. 4 (July 1998): 259–64. http://dx.doi.org/10.1016/s0267-3649(98)80044-7.

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John, Nicolas, and Maximilian Wellmann. "Data security management and data protection for video conferencing software." International Cybersecurity Law Review 1, no. 1-2 (October 2020): 39–50. http://dx.doi.org/10.1365/s43439-020-00013-4.

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Abstract Corona crisis and video conferencing software – two terms that now belong together. However, the demands controllers have on video conferencing software can quickly reach the limits of data protection regulations. In recent years, the progressive development of video conferencing software has already excited many users and led to significant growth. In ad hoc situations, like the Corona pandemic, issues regarding data protection are all too often neglected. This is fatal considering the fact that the implementation of video conferencing software is accompanied by a large number of data protection and security issues that must be addressed and weighed up by the controller. At first glance, technically feasible solutions can quickly turn out to be “Trojan horses” and pose a serious threat to personal data. Therefore, the selection, set-up and use of data protection-compliant video conferencing software is of great importance for controllers. This article aims to examine relevant questions regarding data protection and security management from a European legal perspective. In particular, the detailed analysis of the requirements of the General Data Protection Regulation (GDPR) as well as the practical consequences for the controller should provide practicians an overview of the legal problems associated with the implementation and use of video conferencing software.
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Jianwang, Hong, Ricardo A. Ramirez-Mendoza, and Tang Xiaojun. "Direct Data-Driven Control for Cascade Control System." Mathematical Problems in Engineering 2021 (August 28, 2021): 1–11. http://dx.doi.org/10.1155/2021/1465493.

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This paper combines system identification, direct data-driven control, and optimization algorithm to design two controllers for one cascade control system, that is, the inner controller and the outer controller. More specifically, when these two controllers in the cascade control system are parameterized by two unknown parameter vectors, respectively, the problem of controller design is changed to parameter identification. To avoid the modeling process for the unknown plants in the cascade control system, a direct data-driven control scheme is proposed to identify those two parameter vectors through minimizing two optimization problems, which do not need any knowledge of the unknown plants. Furthermore, the detailed first-order gradient algorithm is applied to solve our constructed optimization problems, and its convergence property is also analyzed. To extend the above idea to design a nonlinear controller in the cascade control system, a direct data-driven scheme is proposed to get one optimal nonlinear controller, by using some spectral knowledge. Finally, one simulation example of flight simulation is used to prove the efficiency of our proposed direct data-driven control for the cascade control system.
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Bai, Liang, Yun-Wen Feng, Ning Li, Xiao-Feng Xue, and Yong Cao. "Data-Driven Adaptive Iterative Learning Method for Active Vibration Control Based on Imprecise Probability." Symmetry 11, no. 6 (June 2, 2019): 746. http://dx.doi.org/10.3390/sym11060746.

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A data-driven adaptive iterative learning (IL) method is proposed for the active control of structural vibration. Considering the repeatability of structural dynamic responses in the vibration process, the time-varying proportional-type iterative learning (P-type IL) method was applied for the design of feedback controllers. The model-free adaptive (MFA) control, a data-driven method, was used to self-tune the time-varying learning gains of the P-type IL method for improving the control precision of the system and the learning speed of the controllers. By using multi-source information, the state of the controlled system was detected and identified. The square root values of feedback gains can be considered as characteristic parameters and the theory of imprecise probability was investigated as a tool for designing the stopping criteria. The motion equation was driven from dynamic finite element (FE) formulation of piezoelectric material, and then was linearized and transformed properly to design the MFA controller. The proposed method was numerically and experimentally tested for a piezoelectric cantilever plate. The results demonstrate that the proposed method performs excellent in vibration suppression and the controllers had fast learning speeds.
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Dissertations / Theses on the topic "Data controllers"

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Rossi, Mauro. "Low order controllers for sampled-data systems." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape8/PQDD_0021/NQ38263.pdf.

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Shultz, James Edward Jr. "Programmable Logic Controllers and Supervisory Control and Data Acquisition: A System Design for Increased Availability." Ohio University / OhioLINK, 1991. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1239733126.

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Shultz, James Edward. "Programmable logic controllers and supervisory control and data acquisition a system design for increased availability." Ohio : Ohio University, 1991. http://www.ohiolink.edu/etd/view.cgi?ohiou1239733126.

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Aronsson, Claes. "Evolution of Neural Controllers for Robot Teams." Thesis, University of Skövde, Department of Computer Science, 2002. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-732.

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This dissertation evaluates evolutionary methods for evolving cooperative teams of robots. Cooperative robotics is a challenging research area in the field of artificial intelligence. Individual and autonomous robots may by cooperation enhance their performance compared to what they can achieve separately. The challenge of cooperative robotics is that performance relies on interactions between robots. The interactions are not always fully understood, which makes the designing process of hardware and software systems complex. Robotic soccer, such as the RoboCup competitions, offers an unpredictable dynamical environment for competing robot teams that encourages research of these complexities. Instead of trying to solve these problems by designing and implement the behavior, the robots can learn how to behave by evolutionary methods. For this reason, this dissertation evaluates evolution of neural controllers for a team of two robots in a competitive soccer environment. The idea is that evolutionary methods may be a solution to the complexities of creating cooperative robots. The methods used in the experiments are influenced by research of evolutionary algorithms with single autonomous robots and on robotic soccer. The results show that robot teams can evolve to a form of cooperative behavior with simple reactive behavior by relying on self-adaptation with little supervision and human interference.

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Khatra, Ajit Paal Singh. "Implementation of a Multi-Layered Fuzzy Controller on an FPGA." Wright State University / OhioLINK, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=wright1153505966.

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Weston, Mindy. "The Right to Be Forgotten: Analyzing Conflicts Between Free Expression and Privacy Rights." BYU ScholarsArchive, 2017. https://scholarsarchive.byu.edu/etd/6453.

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As modern technology continues to affect civilization, the issue of electronic rights grows in a global conversation. The right to be forgotten is a data protection regulation specific to the European Union but its consequences are creating an international stir in the fields of mass communication and law. Freedom of expression and privacy rights are both founding values of the United States which are protected by constitutional amendments written before the internet also changed those fields. In a study that analyzes the legal process of when these two fundamental values collide, this research offers insight into both personal and judicial views of informational priority. This thesis conducts a legal analysis of cases that cite the infamous precedents of Melvin v. Reid and Sidis v. F-R Pub. Corp., to examine the factors on which U.S. courts of law determinewhether freedom or privacy rules.
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Lind-Hård, Viktor. "What meets the eye : Naturalistic observations of air traffic controllers eye-movements during arrivals using eye-tracking." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-159934.

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How do air traffic controllers, or ATCos, distribute visual attention and can it vary between controllers? In this study, using primarily eye-tracking data and a couple of on-site interviews, these questions are explored. Two ATCos, with the most similar landings, had their eye-movements recorded with Tobii pro glasses 2 and further analysed by categorizing every fixation into different areas of interest during four landings. Two more ATCos were interviewed briefly during an observational visit to the control tower. The results showed that the ATCos distributed their attention fairly equally between the outside of the control tower and the inside. When attending to something outside the runway was the focus and when attention was inside the control tower the radar was usually the focus. The ATCos differed in their attention distribution by the presumably more experienced ATCo distributing their attention more outside the control tower than the presumably less experienced ATCo.  A large number of fixations were not categorized bringing the method of dividing the ATCos eye-tracking view into areas of interest into question.
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Schildt, Alessandro Nakoneczny. "Síntese de controladores ressonantes baseado em dados aplicado a fontes ininterruptas de energia." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2014. http://hdl.handle.net/10183/109164.

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Este trabalho trata da utilização de um método de sintonia de controladores baseado nos dados obtidos da planta. A proposta é a sintonia de controladores ressonantes para aplicação em inversores de frequência presentes em fontes ininterruptas de energia, com o intuito de seguimento de referência senoidal de tensão. Dentro deste contexto, será usado o algoritmo Virtual Reference Feedback Tuning, o qual é um método de identificação de controladores baseado em dados que não é iterativo e não necessita do modelo do sistema para identificar o controlador. A partir dos dados obtidos da planta e também da definição de um modelo de referência pelo projetista, o método estima os parâmetros de uma estrutura fixada previamente para o controlador através da minimização de uma função custo definida pelo erro entre a saída desejada e a saída real. Além disso, uma realimentação de corrente é necessária na malha de controle, onde seu ganho proporcional é definido por experimento empírico. Para demonstrar a utilização do método são apresentados resultados simulados e práticos de uma fonte ininterrupta de energia com potência de 5 kV A utilizando cargas lineares e não-lineares. É avaliado o desempenho do ponto de vista da qualidade do sinal de saída real obtido com controladores sintonizados a partir de diferentes modelos de referência, além do uso de sinais de excitação diversos para o algoritmo V RFT. Os resultados experimentais são obtidos em um inversor de frequência monofásico com uma plataforma em tempo real baseada na placa de aquisição de dados dSPACE DS1104. Os resultados mostram que, em relação as normas internacionais, o sistema de controle proposto possui bom comportamento para seguimento de referência, operando à vazio ou utilizando carga linear.
This work discusses about controller tuning methods based on plant data. The proposal is to tune resonant controllers for application to the frequency inverters found in uninterruptible power supplies, with the goal of following sinusoidal reference signals. Within this context, the Virtual Reference Feedback Tuning algorithm is used, which is a data-driven controller identification method that is not iterative and does not require a system model to identify the controller. Data obtained from the plant and also the definition of a reference model by the designer, are used by the method to estimate the parameters of a previously fixed controller structure through the minimization of a cost function, which is defined by the error between desired and actual outputs. Moreover, a current feedback is required in the control loop where the proportional gain is defined by empirical experiment. To demonstrate the method’s application, simulated and practical results of an uninterruptible power supply with capacity of the 5 kV A will be presented employing linear and nonlinear loads. Evaluates the performance in terms of system’s actual output quality, obtained with controllers tuned with different reference models. Distinct excitation signals are also used to feed the VRFT algorithm. The experimental results achieved from use of an single-phase inverter and a real-time platform based on data acquisition board dSPACE DS1104. The results show that, with respect to international standards, the proposed control system has good performance for tracking reference, operating at empty or using linear load.
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Da, Silva De Aguiar Raquel Stella. "Optimization-based design of structured LTI controllers for uncertain and infinite-dimensional systems." Thesis, Toulouse, ISAE, 2018. http://www.theses.fr/2018ESAE0020/document.

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Les techniques d’optimisation non-lisse permettent de résoudre des problèmes difficiles de l’ingénieur automaticien qui étaient inaccessibles avec les techniques classiques. Il s’agit en particulier de problèmes de commande ou de filtrage impliquant de multiples modèles ou faisant intervenir des contraintes de structure pour la réduction des couts et de la complexité. Il en résulte que ces techniques sont plus à même de fournir des solutions réalistes dans des problématiques pratiques difficiles. Les industriels européens de l’aéronautique et de l’espace ont récemment porté un intérêt tout particulier à ces nouvelles techniques. Ces dernières font parfois partie du "process" industriel (THALES, AIRBUS DS Satellite, DASSAULT A) ou sont utilisées dans les bureaux d’étude: (SAGEM, AIRBUS Transport). Des études sont également en cours comme celle concernant le pilotage atmosphérique des futurs lanceurs tels d’Ariane VI. L’objectif de cette thèse concerne l'exploration, la spécialisation et le développement des techniques et outils de l'optimisation non-lisse pour des problématiques d'ingénierie non résolues de façon satisfaisante - incertitudes de différente nature - optimisation de l'observabilité et de la contrôlabilité - conception simultanée système et commande Il s’agit aussi d’évaluer le potentiel de ces techniques par rapport à l’existant avec comme domaines applicatifs l’aéronautique, le spatial ou les systèmes de puissance de grande dimension qui fournissent un cadre d’étude particulièrement exigeant
Non-smooth optimization techniques help solving difficult engineering problems that would be unsolvable otherwise. Among them, control problems with multiple models or with constraints regarding the structure of the controller. The thesis objectives consist in the exploitation, specialization and development of non smooth optmization techniques and tools for solving engineering problems that are not satisfactorily solved to the present
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Papadaki, Evangelia. "What amendments need to be made to the current EU legal framework to better address the security obligations of data controllers?" Thesis, University of Southampton, 2018. https://eprints.soton.ac.uk/421046/.

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The overall objective of this thesis is to identify the gaps in the current EU legal framework surrounding the security obligations of data controllers and make recommendations to help advance the discussions around the possible ways of effectively addressing the problem of cyber insecurity. The thesis adopts an interdisciplinary approach to data security, which involves legal analysis enriched with considerations from the fields of Computer Science and Managerial Economics. In response to the rapidly changing landscape of emerging technologies, which challenges the conventional thinking of regulators, the thesis calls for a shift in the data security regulation paradigm. The contribution of the thesis to knowledge in this field lies in reframing the elements that need to be incorporated into the laws regulating the security obligations of data controllers. The thesis proposes a holistic, dynamic, hybrid and layered approach to data security, which systematically tailors the security obligations of data controllers to the level of re-identification risk involved in data processing operations, and suggests security measures depending on the security level required while laying down the security objectives to be achieved. The proposed regulatory model can serve as guidance for regulators on the law-making process concerning the security obligations of data controllers. The proposed model aspires to provide adequate clarity to data controllers in terms of the initial phase of the design of security measures, while abstaining from imposing technology specific security requirements in order to grant flexibility to data controllers to adapt the security mechanisms to their particular business model and the given data environment.
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Books on the topic "Data controllers"

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Great Britain. Office of the Data Protection Commissioner. The data protection act: A brief guide for data controllers. Wilmslow: Office of the Data Protection Commissioner, 2000.

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United States Institute for Theatre Technology. DMX512/1990: Digital data transmission standard for dimmers and controllers ; [and] AMX192 : analog multiplex data transmission standard for dimmers and controllers. New York: USITT, 1990.

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Limited, Hitachi. Hitachi ASSP for file controllers and motor drivers data book. 5th ed. Tokyo: Hitachi Ltd, 1992.

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Limited, Hitachi. Hitachi ASSP for file controllers and motor drivers data book. 6th ed. [Tokyo]: Hitachi, 1994.

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Instruments, Texas. Data transmission circuits data book. [Dallas, Tex.]: Texas Instruments, 1995.

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Hans, Berger. Automating with SIMATIC: Controllers, software, programming, data communication, operator control and process monitoring. 4th ed. Erlangen: Publicis Pub., 2009.

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Wallner, George R. Networking cookbook for network access controllers: A guide to data networking in financial institutions. 4th ed. Phoenix, Ariz.(2851 W. Kathleen Rd., Phoenix 85023): Hypercom, 1992.

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Prinzo, O. Veronika. Data-linked pilot reply time on controller workload and communication in a simulated terminal option: Final report. Washington, D.C: U.S. Dept. of Transportation, Federal Aviation Administration, Office of Aviation Medicine, 2001.

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United States. Office of Aviation Medicine and Civil Aeromedical Institute, eds. Data-linked pilot reply time on controller workload and communication in a simulated terminal option: Final report. Washington, D.C: U.S. Dept. of Transportation, Federal Aviation Administration, Office of Aviation Medicine, 2001.

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Prinzo, O. Veronika. Data-linked pilot reply time on controller workload and communication in a simulated terminal option: Final report. Washington, D.C: U.S. Dept. of Transportation, Federal Aviation Administration, Office of Aviation Medicine, 2001.

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Book chapters on the topic "Data controllers"

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Chinnasamy, P., and V. Praveena. "Secure and Efficient Data Sharing Scheme in Cloud for Protecting Data in Smart Cities." In Advanced Controllers for Smart Cities, 41–54. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-48539-9_4.

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Pawlak, Zdzisław. "Rough Real Functions and Rough Controllers." In Rough Sets and Data Mining, 139–47. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4613-1461-5_8.

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Díaz-Rodríguez, Iván D., Sangjin Han, and Shankar P. Bhattacharyya. "Computation of Stabilizing Sets from Frequency Response Data." In Analytical Design of PID Controllers, 123–51. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-18228-1_5.

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Mehmood, Usama, Shouvik Roy, Radu Grosu, Scott A. Smolka, Scott D. Stoller, and Ashish Tiwari. "Neural Flocking: MPC-Based Supervised Learning of Flocking Controllers." In Lecture Notes in Computer Science, 1–16. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45231-5_1.

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AbstractWe show how a symmetric and fully distributed flocking controller can be synthesized using Deep Learning from a centralized flocking controller. Our approach is based on Supervised Learning, with the centralized controller providing the training data, in the form of trajectories of state-action pairs. We use Model Predictive Control (MPC) for the centralized controller, an approach that we have successfully demonstrated on flocking problems. MPC-based flocking controllers are high-performing but also computationally expensive. By learning a symmetric and distributed neural flocking controller from a centralized MPC-based one, we achieve the best of both worlds: the neural controllers have high performance (on par with the MPC controllers) and high efficiency. Our experimental results demonstrate the sophisticated nature of the distributed controllers we learn. In particular, the neural controllers are capable of achieving myriad flocking-oriented control objectives, including flocking formation, collision avoidance, obstacle avoidance, predator avoidance, and target seeking. Moreover, they generalize the behavior seen in the training data to achieve these objectives in a significantly broader range of scenarios. In terms of verification of our neural flocking controller, we use a form of statistical model checking to compute confidence intervals for its convergence rate and time to convergence.
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Blokpoel, Robbin, and Jaap Vreeswijk. "Online Micro Modelling Using Proprietary Controllers and SUMO." In Modeling Mobility with Open Data, 35–46. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15024-6_3.

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Nordberg, Ana. "Biobank and Biomedical Research: Responsibilities of Controllers and Processors Under the EU General Data Protection Regulation." In GDPR and Biobanking, 61–89. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-49388-2_5.

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AbstractBiobanks are essential infrastructures in current health and biomedical research. Advanced scientific research increasingly relies on processing and correlating large amounts of genetic, clinical and behavioural data. These data are particularly sensitive in nature and the risk of privacy invasion and misuse is high. The EU General Data Protection Regulation (GDPR) developed and increased harmonisation, resulting in a framework in which the specific duties and obligations of entities processing personal data—controllers and processors—were defined. Biobanks, in the exercise of their functions, assume the role of controllers and/or processors and as such need to comply with a number of complex rules. This chapter analyses these rules in the light of Article 89 GDPR, which creates safeguards and derogations relating to ‘processing for archiving purposes in the public interest, scientific or historical research purposes or statistical purposes’. It identifies key compliance challenges faced by biobanks as data controllers and processors, such as determining whether the GDPR is applicable and its intersection with other regulations; when a biobank should be considered controller and processor; and what are the main duties of biobanks as data controllers and processors and options for compliance.
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Lambert, Paul B. "Representatives of Controllers Not Established in EU." In Essential Introduction to Understanding European Data Protection Rules, 165–67. Boca Raton : CRC Press, 2017.: Auerbach Publications, 2017. http://dx.doi.org/10.1201/9781138069848-13.

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Lambert, Paul B. "Representatives of Controllers Not Established in EU." In Essential Introduction to Understanding European Data Protection Rules, 165–67. Boca Raton : CRC Press, 2017.: Auerbach Publications, 2017. http://dx.doi.org/10.1201/9781315115269-13.

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Krützmann, Julia, Alexander Schiendorfer, Sergej Beratz, Judith Moosburger-Will, Wolfgang Reif, and Siegfried Horn. "Learning Controllers for Adaptive Spreading of Carbon Fiber Tows." In Machine Learning, Optimization, and Data Science, 65–77. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-64580-9_6.

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Schulte, Alexandra, and Oliver Bülchmann. "Wie Big Data die Rolle des Controllers verändert." In Controlling & Management Review Sonderheft 1-2016, 54–60. Wiesbaden: Springer Fachmedien Wiesbaden, 2016. http://dx.doi.org/10.1007/978-3-658-13444-0_7.

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Conference papers on the topic "Data controllers"

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McLaughlin, Stephen, and Saman Zonouz. "Controller-aware false data injection against programmable logic controllers." In 2014 IEEE International Conference on Smart Grid Communications (SmartGridComm). IEEE, 2014. http://dx.doi.org/10.1109/smartgridcomm.2014.7007754.

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Cabral, F. B., and M. G. Safonov. "Fitting controllers to data." In Proceedings of the 1998 American Control Conference (ACC). IEEE, 1998. http://dx.doi.org/10.1109/acc.1998.694738.

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Balasevicius, Leonas, Asta Kunickaite, and Vytis Svajunas Janusevicius. "Discrete-time PID Controller Design in Programmable Logical Controllers." In 2007 4th IEEE Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications. IEEE, 2007. http://dx.doi.org/10.1109/idaacs.2007.4488380.

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Li, Yonghui, Hrishikesh Salunkhe, Joao Bastos, Orlando Moreira, Benny Akesson, and Kees Goossens. "Mode-controlled data-flow modeling of real-time memory controllers." In 2015 13th IEEE Symposium on Embedded Systems For Real-time Multimedia (ESTIMedia). IEEE, 2015. http://dx.doi.org/10.1109/estimedia.2015.7351770.

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Zhou, Keliang. "On Digital Periodic Controllers." In 2021 IEEE 10th Data Driven Control and Learning Systems Conference (DDCLS). IEEE, 2021. http://dx.doi.org/10.1109/ddcls52934.2021.9455567.

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Kjobsted Huusom, Jakob, Paloma Andrade Santacoloma, Niels Kjolestad Poulsen, and Sten Bay Jorgensen. "Data driven tuning of inventory controllers." In 2007 46th IEEE Conference on Decision and Control. IEEE, 2007. http://dx.doi.org/10.1109/cdc.2007.4434207.

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Teixeira, Andre M. H. "Data Injection Attacks against Feedforward Controllers." In 2019 18th European Control Conference (ECC). IEEE, 2019. http://dx.doi.org/10.23919/ecc.2019.8796027.

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Formentin, Simone, and Alireza Karimi. "Direct data-driven design of sparse controllers." In 2013 American Control Conference (ACC). IEEE, 2013. http://dx.doi.org/10.1109/acc.2013.6580307.

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Formentin, Simone, and Sergio M. Savaresi. "Noniterative data-driven design of multivariable controllers." In 2011 50th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC 2011). IEEE, 2011. http://dx.doi.org/10.1109/cdc.2011.6160388.

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Cabral, F. B., and M. G. Safonov. "Fitting controllers to data: the MIMO case." In Proceedings of the 2004 American Control Conference. IEEE, 2004. http://dx.doi.org/10.23919/acc.2004.1384019.

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Reports on the topic "Data controllers"

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Stouffer, Keith, Joe Falco, and Karen Scarfone. Guide to Industrial Control Systems (ICS) Security : Supervisory Control and Data Acquisition (SCADA) Systems, Distributed Control Systems (DCS), and Other Control System Configurations such as Programmable Logic Controllers (PLC). National Institute of Standards and Technology, May 2013. http://dx.doi.org/10.6028/nist.sp.800-82r1.

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Stouffer, Keith, Joe Falco, and Karen Scarfone. Guide to Industrial Control Systems (ICS) Security - Supervisory Control and Data Acquisition (SCADA) systems, Distributed Control Systems (DCS), and other control system configurations such as Programmable Logic Controllers (PLC). Gaithersburg, MD: National Institute of Standards and Technology, June 2011. http://dx.doi.org/10.6028/nist.sp.800.82.

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Li, Howell, Tom Platte, Jijo K. Mathew, W. Benjamin Smith, Enrique Saldivar-Carranza, and Darcy M. Bullock. Using Connected Vehicle Data to Reassess Dilemma Zone Performance of Heavy Vehicles. Purdue University, 2020. http://dx.doi.org/10.5703/1288284317321.

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The rate of fatalities at signalized intersections involving heavy vehicles is nearly five times higher than for passenger vehicles in the US. Previous studies in the US have found that heavy vehicles are twice as likely to violate a red light compared with passenger vehicles. Current technologies leverage setback detection to extend green time for a particular phase and are based upon typical deceleration rates for passenger cars. Furthermore, dilemma zone detectors are not effective when the max out time expires and forces the onset of yellow. This study proposes the use of connected vehicle (CV) technology to trigger force gap out (FGO) before a vehicle is expected to arrive within the dilemma zone limit at max out time. The method leverages position data from basic safety messages (BSMs) to map-match virtual waypoints located up to 1,050 ft in advance of the stop bar. For a 55 mph approach, field tests determined that using a 6 ft waypoint radius at 50 ft spacings would be sufficient to match 95% of BSM data within a 5% lag threshold of 0.59 s. The study estimates that FGOs reduce dilemma zone incursions by 34% for one approach and had no impact for the other. For both approaches, the total dilemma zone incursions decreased from 310 to 225. Although virtual waypoints were used for evaluating FGO, the study concludes by recommending that trajectory-based processing logic be incorporated into controllers for more robust support of dilemma zone and other emerging CV applications.
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Khan, Fitratullah, and Marcelo Cavalcanti. Part A. A Data Acquisition/Controller System. Part B. Supplement to a Data Acquisition/Controller System. Fort Belvoir, VA: Defense Technical Information Center, May 1994. http://dx.doi.org/10.21236/ada283373.

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Stouffer, Keith, Joe Falco, and Karen Scarfone. Guide to Industrial Control Systems (ICS) security : Supervisory Control and Data Acquisition (SCADA) systems, Distributed Control systems (DCS), and other control system configurations such as Programmable Logic Controllers (PLC) : recommendations of the National Institute of Standards and Technology, Computer security. Gaithersburg, MD: National Institute of Standards and Technology, June 2011. http://dx.doi.org/10.6028/nist.sp.800-82.

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Hardy, Trevor, Patrick Balducci, and Kalpesh Joshi. Washington Clean Energy Fund: Controller Development Project, Task 1.1 Preliminary Report Outlining Data Needs for Controller Development. Office of Scientific and Technical Information (OSTI), December 2015. http://dx.doi.org/10.2172/1821001.

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Wiese, W. L., ed. Atomic data for controlled fusion research. Volume IV. Spectroscopic data for iron. Office of Scientific and Technical Information (OSTI), February 1985. http://dx.doi.org/10.2172/5886757.

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Taiber, Joachim. Unsettled Topics Concerning the Impact of Quantum Technologies on Automotive Cybersecurity. SAE International, December 2020. http://dx.doi.org/10.4271/epr2020026.

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Quantum computing is considered the “next big thing” when it comes to solving computational problems impossible to tackle using conventional computers. However, a major concern is that quantum computers could be used to crack current cryptographic schemes designed to withstand traditional cyberattacks. This threat also impacts future automated vehicles as they become embedded in a vehicle-to-everything (V2X) ecosystem. In this scenario, encrypted data is transmitted between a complex network of cloud-based data servers, vehicle-based data servers, and vehicle sensors and controllers. While the vehicle hardware ages, the software enabling V2X interactions will be updated multiple times. It is essential to make the V2X ecosystem quantum-safe through use of “post-quantum cryptography” as well other applicable quantum technologies. This SAE EDGE™ Research Report considers the following three areas to be unsettled questions in the V2X ecosystem: How soon will quantum computing pose a threat to connected and automated vehicle technologies? What steps and measures are needed to make a V2X ecosystem “quantum-safe?” What standardization is needed to ensure that quantum technologies do not pose an unacceptable risk from an automotive cybersecurity perspective?
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Quist, Arvin. Unclassified Controlled Nuclear Information and Restricted Data Concerning U.S. Calutrons. Office of Scientific and Technical Information (OSTI), January 1999. http://dx.doi.org/10.2172/1291336.

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Day, Christopher, and Darcy Bullock. Performance Measures of Interrupted-Flow Roadways Using Re-Identification and Signal Controller Data. Purdue University, December 2017. http://dx.doi.org/10.5703/1288284316557.

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