Relevant bibliographies by topics / Control loop

Contents

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

Academic literature on the topic 'Control loop'

Author: Grafiati
Published: 4 June 2021
Last updated: 9 June 2025

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Journal articles on the topic "Control loop"

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James, M. R. "Optimal Quantum Control Theory." Annual Review of Control, Robotics, and Autonomous Systems 4, no. 1 (May 3, 2021): 343–67. http://dx.doi.org/10.1146/annurev-control-061520-010444.

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This article explains some fundamental ideas concerning the optimal control of quantum systems through the study of a relatively simple two-level system coupled to optical fields. The model for this system includes both continuous and impulsive dynamics. Topics covered include open- and closed-loop control, impulsive control, open-loop optimal control, quantum filtering, and measurement feedback optimal control.
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İnci, Mustafa, Tuğçe Demirdelen, and Mehmet Tümay. "Performance Analysis of Closed Loop and Open Loop Control Methods in Dynamic Voltage Restorer." International Journal of Engineering Research 4, no. 11 (November 1, 2015): 582–85. http://dx.doi.org/10.17950/ijer/v4s11/1101.

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Rahman, Anisur, and M. A. A. Shoukat Choudhury. "Detection of control loop interactions and prioritization of control loop maintenance." Control Engineering Practice 19, no. 7 (July 2011): 723–31. http://dx.doi.org/10.1016/j.conengprac.2011.03.007.

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Randeep Singh, Masataka Mochizuki, Thang Nguyen, Yuji Saito, Kazuhiko Goto, and Koichi Mashiko. "G060041 Loop Heat Pipe for Datacenter Thermal Control." Proceedings of Mechanical Engineering Congress, Japan 2012 (2012): _G060041–1—_G060041–5. http://dx.doi.org/10.1299/jsmemecj.2012._g060041-1.

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Nasser, Mohamed Ramli *. Haslinda Zabiri. "CONTROL STRATEGIES OF HEAT EXCHANGER." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 6, no. 2 (February 1, 2017): 43–52. https://doi.org/10.5281/zenodo.266778.

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This work consists of experimental work for heat exchanger. The approach are made for comparison purpose instead of validation of experimental data. Behaviors of heat exchanger are to be observed through these approaches under two different control systems, open loop and closed loop response. The one concern is the closed loop control system, at which the behaviors are study and clarify. However, for closed loop control system to be established, some data such as PI, and PID values must be calculated from the open loop control system. Then, behaviors are justified through some calculations using established tuning method available in literature such as IMC based PI controller and using Ziegler-Nichols formula based PID controller.
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Lynch, C. B., and G. A. Dumont. "Control loop performance monitoring." IEEE Transactions on Control Systems Technology 4, no. 2 (March 1996): 185–92. http://dx.doi.org/10.1109/87.486345.

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Zellbeck, Hans. "Closed-loop Emission Control." MTZ worldwide 78, no. 6 (May 12, 2017): 78. http://dx.doi.org/10.1007/s38313-017-0060-7.

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Zellbeck, Hans. "Closed Loop Emission Control." MTZ - Motortechnische Zeitschrift 78, no. 6 (May 12, 2017): 90. http://dx.doi.org/10.1007/s35146-017-0058-3.

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E, Govindasamy. "Converter Fed DC Motor Speed Control Open Loop and Closed Loop Control." International Journal for Research in Applied Science and Engineering Technology 7, no. 4 (April 30, 2019): 466–69. http://dx.doi.org/10.22214/ijraset.2019.4085.

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Kameswari, B. S. Durga, and Dola Gobinda Padhan. "Complimentary Sensitivity Function based Novel Cascade Control Structure for Automatic Generation Control." E3S Web of Conferences 87 (2019): 01012. http://dx.doi.org/10.1051/e3sconf/20198701012.

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This paper introduces a series cascade control structure for automatic generation control. The control structure consists of two loops such as Primary loop and auxiliary loop (secondary loop). The secondary loop controller is designed using internal model control (IMC) approach. The primary loop controller is a PID controller which is tuned using desired complimentary sensitivity function. The beauty of the control structure is that it effectively nullifies the disturbances entering to the secondary loop as well as primary loop. The efficacy of the proposed controller is shown by comparing the simulation results with the existing methods in the literature.
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Dissertations / Theses on the topic "Control loop"

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Elfving, Maria. "Hydraulic closed loop control." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-234932.

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The purpose of the thesis work is to investigate methods for closedloop control of hydraulic pressure in transmissions to make them bemore precise. This is desirable since it decreases the fuel consumptionas well as emissions, and improves the driving performance.To be able to study the behaviour of the transmission, a Simulink modelis designed with the parts relevant to the problem, and from this a linearmodel is obtained. Three different controllers are designed andimplemented in the Simulink model, to compare and analyze differentsolutions. The controllers implemented are a PI controller, a PIDcontroller and a LQR controller.The results from the simulation with the different controllers showstep responses to be able to evaluate their individual performance. Theresults show that all of the controllers meet the requirements for a stepreponse under better conditions, but under worse ones the LQR controllerperforms best of the three. The LQR controller is therefore themost suitable of the three controllers for this particular problem.<br>Syftet med det här examensarbete är att undersöka olika metoder för återkopplad reglering av hydrauliskt tryck i en transmission för att göra det mer exakt. Detta är önskvärt eftersom det minskar bränsleåt- gången och utsläpp, och gör även körupplevelsen bättre. För att kunna studera transmission tas en Simulink-modell fram in- nehållande de delar som är relevanta för problemet, och från detta kan en linjär modell erhållas. Tre olika regulatorer tas fram och im- plementeras i Simulink-modellen, för att kunna jämföra och analysera de olika lösningarna. De regulatorer som tas fram är PI-regulator, PID- regulator och LQR-regualator. Resultaten från simuleringen med de olika regulatorerna visar stegs- var under varierande förutsättningar för att kunna utvärdera hur de presterar. Resultaten visar att alla regulatorer uppfyller kraven på ett stegsvar under bättre förhållanden, men LQR-regulatorn presterar bäst under svårare förhållanden. LQR-regulatorn är därför den mest relevanta reglerstrategin för det här problemet av de tre
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Vanichsriratana, Wirat. "Optimal control of fed-batch fermentation processes." Thesis, University of Westminster, 1996. https://westminsterresearch.westminster.ac.uk/item/94908/optimal-control-of-fed-batch-fermentation-processes.

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Optimisation of a fed-batch fermentation process typically uses the calculus of variations or Pontryagin's maximum principle to determine an optimal feed rate profile. This often results in a singular control problem and an open loop control structure. The singular feed rate is the optimal feed rate during the singular control period and is used to control the substrate concentration in the fermenter at an optimal level. This approach is supported by biological knowledge that biochemical reaction rates are controlled by the environmental conditions in the fermenter; in this case, the substrate concentration. Since an accurate neural net-based on-line estimation of the substrate concentration has recently become available and is currently employed in industry, we are therefore able to propose a method which makes use of this estimation. The proposed method divides the optimisation problem into two parts. First, an optimal substrate concentration profile which governs the biochemical reactions in the fermentation process is determined. Then a controller is designed to track the obtained optimal profile. Since the proposed method determines the optimal substrate concentration profile, the singular control problem is therefore avoided because the substrate concentration appears nonlinearly in the system equations. Also, the process is then operated in closed loop control of the substrate concentration. The proposed method is then called "closed loop optimal control". The proposed closed loop optimal control method is then compared with the open loop optimal feed rate profile method. The comparison simulations from both primary and secondary metabolite production processes show that both methods give similar performance in a case of perfect model while the closed loop optimal control provides better performance than the open loop method in a case of plant/model mismatch. The better performance of the closed loop optimal control is due to an ability to compensate for the modelling errors using feedback.
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Jones, Melvin. "Closed loop performance monitoring." Pretoria : [s.n.], 2005. http://upetd.up.ac.za/thesis/available/etd-04122007-115205.

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Mantzaridis, Haralmbos. "Closed-loop control of anaesthesia." Thesis, University of Strathclyde, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.338938.

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Norfleet, Walton A. (Walton Arthur) 1973. "Algorithms for closed loop shape control." Thesis, Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/8559.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2001.<br>Includes bibliographical references (p. 147-149).<br>The stretch forming process is used to make structural sheet metal parts in the aerospace industry. The development of stretch forming tools has long been plagued by significant challenges. First, the low production volumes within the aerospace industry and the large numbers of stretch formed parts make the process capital intensive. Second, the development of stretch forming tooling has long been more of an art than a science. This results in poorly designed tools, poor quality parts, and lengthy tooling development cycles. A stretch forming tool capable of rapid reconfiguration was previously designed to address these issues. This tool is used in conjunction with a self-tuning shape control algorithm, which guides the die to the correct shape. There have been many simulations, and lab scale successes with these algorithms, but production scale implementations have experienced difficulties. These problems are related to the method of system identification and process variation. To better understand these issues, analysis and simulation are performed on the various forms of the algorithm. These investigations led to a greater understanding of the algorithms and the synthesis of an improved algorithm. In conclusion, a greater understanding of previously developed algorithms is presented. The system identification is mapped as a Point Spread Function applied through a cyclic convolution. This view provides insight into how the system identification is applied and allows system coupling to be quantified. Furthermore, through improved understanding a new algorithm is synthesized. This new algorithm offers an implementable solution that is optimized for performance, robustness to variation, and ease of use.<br>by Walton A. Norfleet.<br>S.M.
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Nalla, Ajit R. "Closed-loop flow control approaches for VARTM." Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file 2.86 Mb., 89 p, 2006. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&res_dat=xri:pqdiss&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&rft_dat=xri:pqdiss:1430781.

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Corke, Peter Ian. "High-Performance Visual Closed-Loop Robot Control." Connect to thesis, 1994. http://repository.unimelb.edu.au/10187/1392.

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This thesis addresses the use of monocular eye-in-hand machine vision to control the position of a robot manipulator for dynamically challenging tasks. Such tasks are defined as those where the robot motion required approaches or exceeds the performance limits stated by the manufacturer.<br>Computer vision systems have been used for robot control for over two decades now, but have rarely been used for high-performance visual closed-loop control. This has largely been due to technological limitations in image processing, but since the mid 1980sadvances have made it feasible to apply computer vision techniques at a sufficiently high rate to guide a robot or close a feedback control loop. Visual servoing is the use of computer vision for closed-loop control of a robot manipulator, and has the potential to solve a number of problems that currently limit the potential of robots in industry and advanced applications.<br>This thesis introduces a distinction between visual kinematic and visual dynamic control. The former is well addressed in the literature and is concerned with how the manipulator should move in response to perceived visual features. The latter is concerned with dynamic effects due to the manipulator and machine vision sensor which limit performance and must be explicitly addressed in order to achieve high-performance control. This is the principle focus of the thesis.<br>In order to achieve high-performance it is necessary to have accurate models of the system to be controlled (the robot) and the sensor (the camera and vision system).Despite the long history of research in these areas individually, and combined in visual servoing, it is apparent that many issues have not been addressed in sufficient depth, and that much of the relevant information is spread through a very diverse literature. Another contribution of this thesis is to draw together this disparate information and present it in a systematic and consistent manner. This thesis also has a strong theme of experimentation. Experiments are used to develop realistic models which are used for controller synthesis, and these controllers are then verified experimentally.
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Ettaleb, Lahoucine. "Control loop performance assessment and oscillation detection." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape8/PQDD_0017/NQ46341.pdf.

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Bao, Lei. "Source-channel coding for closed-loop control." Licentiate thesis, Stockholm, Communication Theory Lab, School of Electrical Engineering, Royal Institute of Technology, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-3980.

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Chen, Jun. "Control system based loop and process monitoring." Thesis, University of Glasgow, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.312530.

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Books on the topic "Control loop"

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Lynch, Christopher B. Control loop performance. Vancouver, B.C: University of British Columbia, 1992.

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Feyel, Philippe. Loop-shaping Robust Control. Hoboken, NJ USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118575246.

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Zacher, Serge. Closed Loop Control and Management. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-13483-8.

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Tyrone, Fernando, ed. Closed-loop control of blood glucose. Berlin: Springer, 2007.

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Saberi, Ali. Loop transfer recovery: Analysis and design. London: Springer-Verlag, 1993.

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1958-, Nixon Mark, ed. Control loop foundation: Batch and continuous processes. Research Triangle Park, NC: International Society of Automation, 2011.

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Sun, Jingrui, and Jiongmin Yong. Stochastic Linear-Quadratic Optimal Control Theory: Open-Loop and Closed-Loop Solutions. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-20922-3.

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A, Sorenson John, and United States. National Aeronautics and Space Administration., eds. ACSYNT inner loop flight control design study. [Washington, D.C.]: National Aeronautics and Space Administration, 1993.

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Center, Lewis Research, ed. Optical closed-loop propulsion control system development. [Cleveland, Ohio]: National Aeronautics and Space Administration, Lewis Research Center, 1998.

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Andrews, John William. Phase locked loop control in communications systems. Birmingham: University of Birmingham, 2000.

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Book chapters on the topic "Control loop"

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Weik, Martin H. "loop control." In Computer Science and Communications Dictionary, 933. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_10661.

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Kiong, Tan Kok, Wang Qing-Guo, Hang Chang Chieh, and Tore J. Hägglund. "Multi-Loop Control." In Advances in PID Control, 189–213. London: Springer London, 1999. http://dx.doi.org/10.1007/978-1-4471-0861-0_5.

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Buxbaum, Arne, Klaus Schierau, Alan Straughen, and R. Bonert. "Open-Loop Control." In Design of Control Systems for DC Drives, 3–7. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-84006-7_3.

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Gooch, Jan W. "Closed Loop Control." In Encyclopedic Dictionary of Polymers, 148. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6247-8_2460.

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Hong, Keum-Shik, and Umer Hameed Shah. "Open-Loop Control." In Dynamics and Control of Industrial Cranes, 87–114. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-5770-1_6.

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Ackermann, Jürgen. "Control Loop Synthesis." In Sampled-Data Control Systems, 227–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/978-3-642-82554-5_6.

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Gawronski, Wodek. "Single Loop Control." In Mechanical Engineering Series, 145–55. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-78793-0_10.

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Weik, Martin H. "loop-control statement." In Computer Science and Communications Dictionary, 933. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_10662.

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Weik, Martin H. "loop-control variable." In Computer Science and Communications Dictionary, 933. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_10663.

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Klingbeil, Harald, Ulrich Laier, and Dieter Lens. "Closed-Loop Control." In Particle Acceleration and Detection, 327–67. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07188-6_7.

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Conference papers on the topic "Control loop"

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Kernen, Thomas, Maciek Machnikowski, Gil Shabat, and Hanan Shteingart. "Optimizing the PTP Control Loop." In 2024 IEEE International Symposium on Precision Clock Synchronization for Measurement, Control, and Communication (ISPCS), 1–7. IEEE, 2024. http://dx.doi.org/10.1109/ispcs63021.2024.10747730.

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Hu, Jiayang, and Andrew R. Plummer. "Compensator design for model-in-the-loop testing." In 2016 UKACC 11th International Conference on Control (CONTROL). IEEE, 2016. http://dx.doi.org/10.1109/control.2016.7737633.

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Chunming Xia. "Loop status monitoring." In IEE Seminar Control Loop Performance Assessment. IEE, 2002. http://dx.doi.org/10.1049/ic:20020223.

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Thornhill, N. F. "Practical implementation of control loop benchmarking." In IEE Seminar Control Loop Performance Assessment. IEE, 2002. http://dx.doi.org/10.1049/ic:20020220.

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Hamad, Adnan, Dingli Yu, J. B. Gomm, and Mahavir S. Sangha. "Fault detection and isolation for engine under closed-loop control." In 2012 UKACC International Conference on Control (CONTROL). IEEE, 2012. http://dx.doi.org/10.1109/control.2012.6334669.

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Trenchard, A. "Managing control systems as assets: maximizing economic return through process-centric control loop management." In IEE Seminar Control Loop Performance Assessment. IEE, 2002. http://dx.doi.org/10.1049/ic:20020218.

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Kamal, Mahanijah Md, and Dingli Yu. "Fault detection and isolation for PEMFC systems under closed-loop control." In 2012 UKACC International Conference on Control (CONTROL). IEEE, 2012. http://dx.doi.org/10.1109/control.2012.6334764.

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Qi Bo and Guo Lei. "Comparisons between quantum open-loop control and closed-loop control." In 2008 Chinese Control Conference (CCC). IEEE, 2008. http://dx.doi.org/10.1109/chicc.2008.4605890.

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Shah, S. "Control loop performance assessment using minimum variance benchmarking." In IEE Seminar Control Loop Performance Assessment. IEE, 2002. http://dx.doi.org/10.1049/ic:20020219.

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Ordys, A. "Restricted structure control loop performance assessment and benchmarking." In IEE Seminar Control Loop Performance Assessment. IEE, 2002. http://dx.doi.org/10.1049/ic:20020225.

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Reports on the topic "Control loop"

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Zhang S. Y. and A. McNerney. RFQ AMPLITUDE FEEDBACK LOOP CONTROL. Office of Scientific and Technical Information (OSTI), April 1986. http://dx.doi.org/10.2172/1151162.

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Breuer, Kenneth. Closed Loop Control and Turbulent Flows. Fort Belvoir, VA: Defense Technical Information Center, October 2005. http://dx.doi.org/10.21236/ada443535.

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Laub, Alan J. Numerical Methods for Closed-Loop Control. Fort Belvoir, VA: Defense Technical Information Center, June 1991. http://dx.doi.org/10.21236/ada248481.

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Gabrielson, Thomas B. Control-Loop Design for Nonlinear Sensors. Fort Belvoir, VA: Defense Technical Information Center, September 2000. http://dx.doi.org/10.21236/ada381918.

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Williams, P. F., and N. J. Ianno. Closed Loop Control of Advanced Manufacturing Processes. Fort Belvoir, VA: Defense Technical Information Center, May 2002. http://dx.doi.org/10.21236/ada402583.

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Meerkov, Semyon M., Pierre T. Kabamba, and Eng-Kee Poh. Closed Loop Vibrational Control: Theory and Applications. Fort Belvoir, VA: Defense Technical Information Center, October 1993. http://dx.doi.org/10.21236/ada275451.

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Deutsch, Owen, Milton B. Adams, and Janet Lepanto. Closed-Loop Hierarchical Control of Military Air Operations. Fort Belvoir, VA: Defense Technical Information Center, July 2002. http://dx.doi.org/10.21236/ada408470.

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Cohen, Herbert E. Prediction of Input Control for Time Invariant Open Loop Combat-Control System. Fort Belvoir, VA: Defense Technical Information Center, November 1992. http://dx.doi.org/10.21236/ada261510.

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Funk, Harry, Robert Goldman, Christopher Miller, John Meisner, and Peggy Wu. A Playbook(trademark) for Real-Time, Closed-Loop Control. Fort Belvoir, VA: Defense Technical Information Center, January 2005. http://dx.doi.org/10.21236/ada439281.

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Williams, David R. Closed-Loop Control of Acoustic Tones in Aircraft Cavities. Fort Belvoir, VA: Defense Technical Information Center, February 2002. http://dx.doi.org/10.21236/ada400135.

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