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Journal articles on the topic 'Control loop'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

James, M. R. "Optimal Quantum Control Theory." Annual Review of Control, Robotics, and Autonomous Systems 4, no. 1 (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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2

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 (2015): 582–85. http://dx.doi.org/10.17950/ijer/v4s11/1101.

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3

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 (2011): 723–31. http://dx.doi.org/10.1016/j.conengprac.2011.03.007.

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4

Nasser, Mohamed Ramli *. Haslinda Zabiri. "CONTROL STRATEGIES OF HEAT EXCHANGER." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 6, no. 2 (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 usi

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5

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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6

Lynch, C. B., and G. A. Dumont. "Control loop performance monitoring." IEEE Transactions on Control Systems Technology 4, no. 2 (1996): 185–92. http://dx.doi.org/10.1109/87.486345.

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7

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

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8

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

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9

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 (2019): 466–69. http://dx.doi.org/10.22214/ijraset.2019.4085.

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10

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

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11

Geng Wang, Geng Wang, Chunlin Guan Chunlin Guan, Hong Zhou Hong Zhou, Xiaojun Zhang Xiaojun Zhang, and Changhui Rao Changhui Rao. "Hysteresis compensation of piezoelectric actuator for open-loop control." Chinese Optics Letters 11, s2 (2013): S21202–321205. http://dx.doi.org/10.3788/col201311.s21202.

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12

Abdulrahman, Alaa Muheddin. "Conventional Control of Loop-Height in Steel Rolling Mill." Journal of Zankoy Sulaimani - Part A 11, no. 1 (2008): 81–87. http://dx.doi.org/10.17656/jzs.10183.

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13

Zhou, Hong Cheng, and Cun Bao Chen. "Single Channel Control Simulation Used on Servo Control." Advanced Materials Research 1028 (September 2014): 191–94. http://dx.doi.org/10.4028/www.scientific.net/amr.1028.191.

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Based on analysis for characteristic of the motion configuration, the control strategy and control law used on the motion control system are presented. The controller in velocity tracking loop and location loop are respectively designed by frequency correcting method and normal control method which belongs to classical control theory. The problem of location control loop low velocity creeping is solved. A simulating experimentation demonstrates the effectiveness of the proposed approach.

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14

A, Ezhilarasi. "Inverter Fed DC Motor Speed Control for Open Loop and Closed Loop Control." International Journal for Research in Applied Science and Engineering Technology 7, no. 4 (2019): 462–65. http://dx.doi.org/10.22214/ijraset.2019.4084.

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15

Em, Poh Ping, Khisbullah Hudha, and Hishamuddin Jamaluddin. "Automatic steering control for lanekeeping manoeuvre: outer-loop and inner-loop control design." International Journal of Advanced Mechatronic Systems 2, no. 5/6 (2010): 350. http://dx.doi.org/10.1504/ijamechs.2010.037101.

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16

Vesjolaja, Ludmila, Bjørn Glemmestad, and Bernt Lie. "Double-Loop Control Structure for Rotary Drum Granulation Loop." Processes 8, no. 11 (2020): 1423. http://dx.doi.org/10.3390/pr8111423.

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The operation of granulation plants on an industrial scale is challenging. Periodic instability associated with the operation of the granulation loop causes the particle size distribution of the particles flowing out from the granulator to oscillate, thus making it difficult to maintain the desired product quality. To address this problem, two control strategies are proposed in this paper, including a novel approach, where product-sized particles are recycled back to maintain a stable granulation loop process. A dynamic model of the process that is based on a population balance equation is use

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17

Lucamarini, M., G. Di Giuseppe, D. Vitali, and P. Tombesi. "Open-loop and closed-loop control of flying qubits." Journal of Physics B: Atomic, Molecular and Optical Physics 44, no. 15 (2011): 154005. http://dx.doi.org/10.1088/0953-4075/44/15/154005.

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18

Schoute, Frits C. "Open-loop versus closed-loop control of processor loading." Performance Evaluation 11, no. 3 (1990): 201–8. http://dx.doi.org/10.1016/0166-5316(90)90012-8.

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19

Calvagna, Andrea, and Giuseppe Tropea. "Twofold control loop network-level congestion control." European Transactions on Telecommunications 18, no. 1 (2007): 81–95. http://dx.doi.org/10.1002/ett.1095.

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20

Sorrell, Ethan, Michael E. Rule, and Timothy O'Leary. "Brain–Machine Interfaces: Closed-Loop Control in an Adaptive System." Annual Review of Control, Robotics, and Autonomous Systems 4, no. 1 (2021): 167–89. http://dx.doi.org/10.1146/annurev-control-061720-012348.

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Brain–machine interfaces (BMIs) promise to restore movement and communication in people with paralysis and ultimately allow the human brain to interact seamlessly with external devices, paving the way for a new wave of medical and consumer technology. However, neural activity can adapt and change over time, presenting a substantial challenge for reliable BMI implementation. Large-scale recordings in animal studies now allow us to study how behavioral information is distributed in multiple brain areas, and state-of-the-art interfaces now incorporate models of the brain as a feedback controller.

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21

Roca, Pablo, Thomas Duriez, Ada Cammilleri, and Guillermo Artana. "CYLINDER WAKE CLOSED-LOOP CONTROL SYSTEM." Anales AFA 23, no. 3 (2013): 29–33. http://dx.doi.org/10.31527/analesafa.2013.23.3.29.

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22

Zhang, Jianhua, and Junghui Chen. "Neural PID Control Strategy for Networked Process Control." Mathematical Problems in Engineering 2013 (2013): 1–11. http://dx.doi.org/10.1155/2013/752489.

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A new method with a two-layer hierarchy is presented based on a neural proportional-integral-derivative (PID) iterative learning method over the communication network for the closed-loop automatic tuning of a PID controller. It can enhance the performance of the well-known simple PID feedback control loop in the local field when real networked process control applied to systems with uncertain factors, such as external disturbance or randomly delayed measurements. The proposed PID iterative learning method is implemented by backpropagation neural networks whose weights are updated via minimizin

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23

Li, Kelin, Yalei Bai, and Haoyu Zhou. "Research on Quadrotor Control Based on Genetic Algorithm and Particle Swarm Optimization for PID Tuning and Fuzzy Control-Based Linear Active Disturbance Rejection Control." Electronics 13, no. 22 (2024): 4386. http://dx.doi.org/10.3390/electronics13224386.

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The control system of a quadrotor aircraft is characterized by nonlinearity, strong coupling, and underactuation, making it susceptible to external disturbances that can affect flight performance. To address this issue, this paper proposes a novel control system based on inner–outer loop architecture. In this system, the outer loop position control adopts a PID controller optimized by Genetic Algorithm-based Particle Swarm Optimization (GA-PSO), while the inner loop attitude control employs a Linear Active Disturbance Rejection Controller (LADRC) with fuzzy algorithm-based adaptive tuning, for

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24

Jin, Li Qiang, Chuan Xue Song, and Jian Hua Li. "Intelligent Velocity Control Strategy for Electric Vehicles." Applied Mechanics and Materials 80-81 (July 2011): 1180–84. http://dx.doi.org/10.4028/www.scientific.net/amm.80-81.1180.

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In conventional vehicles, the control of vehicle speed is achieved by changing the engine load through adjusting the acceleration pedal. However, in electric vehicles, this is achieved by controlling the target motor torque obtained from the look-up table in accordance with the position of acceleration pedal. This method is an open-loop control, with which the engine brake cannot be implemented during downhill trips. In this paper, a closed-loop control of vehicle speed for electric vehicles is proposed. The target vehicle speed is set by the acceleration pedal. The controller collects the rea

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25

Ping, Em Poh, Khisbullah Hudha, and Hishamuddin Jamaluddin. "Hardware-in-the-loop simulation of automatic steering control for lanekeeping manoeuvre: outer-loop and inner-loop control design." International Journal of Vehicle Safety 5, no. 1 (2010): 35. http://dx.doi.org/10.1504/ijvs.2010.035318.

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26

Poggie, Jonathan, Carl P. Tilmann, Peter M. Flick, et al. "Closed-Loop Stall Control System." Journal of Aircraft 47, no. 5 (2010): 1747–55. http://dx.doi.org/10.2514/1.c000262.

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27

Struys, Michel M. R. F., Tom De Smet, and Eric P. Mortier. "Closed-loop control of anaesthesia." Current Opinion in Anaesthesiology 15, no. 4 (2002): 421–25. http://dx.doi.org/10.1097/00001503-200208000-00003.

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28

Kenny, G. N. C., W. McFadzean, H. Mantzaridis, and A. C. Fisher. "CLOSED-LOOP CONTROL OF ANESTHESIA." Anesthesiology 77, Supplement (1992): A328. http://dx.doi.org/10.1097/00000542-199209001-00328.

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29

Alekseev, A. S., S. V. Zamyatin, and V. A. Rudnicki. "Multi-loop control system design." Bulletin of the Polish Academy of Sciences: Technical Sciences 60, no. 3 (2012): 627–30. http://dx.doi.org/10.2478/v10175-012-0074-x.

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Abstract The approach based on a special case of the Laplace transform, which allows to design multi-loop system is considered. The tuning regulators program on the base of this approach is developed. The numerical example is shown.

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30

Kribus, Abraham, Irina Vishnevetsky, Amnon Yogev, and Tatiana Rubinov. "Closed loop control of heliostats." Energy 29, no. 5-6 (2004): 905–13. http://dx.doi.org/10.1016/s0360-5442(03)00195-6.

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31

Hägglund, T. "A control-loop performance monitor." Control Engineering Practice 3, no. 11 (1995): 1543–51. http://dx.doi.org/10.1016/0967-0661(95)00164-p.

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32

Perez, R. B., P. J. Otaduy, and M. Abdalla. "Nonlinear closed-loop control theory." Annals of Nuclear Energy 19, no. 3 (1992): 123–43. http://dx.doi.org/10.1016/s0306-4549(06)80010-1.

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33

Huang, Hong-Yi, Shiun-Dian Jan, and Ruei-Iun Pu. "All digital pulsewidth control loop." International Journal of Electronics 100, no. 3 (2013): 337–54. http://dx.doi.org/10.1080/00207217.2012.713010.

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34

Van Herpe, Tom, Bart De Moor, and Greet Van den Berghe. "Towards closed-loop glycaemic control." Best Practice & Research Clinical Anaesthesiology 23, no. 1 (2009): 69–80. http://dx.doi.org/10.1016/j.bpa.2008.07.003.

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35

Dumont, Guy A., and J. Mark Ansermino. "Closed-Loop Control of Anesthesia." Anesthesia & Analgesia 117, no. 5 (2013): 1130–38. http://dx.doi.org/10.1213/ane.0b013e3182973687.

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36

Nævdal, Geir, D. Roald Brouwer, and Jan-Dirk Jansen. "Waterflooding using closed-loop control." Computational Geosciences 10, no. 1 (2006): 37–60. http://dx.doi.org/10.1007/s10596-005-9010-6.

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37

Laudan, Timo, and Axel Mauritz. "Integrated Project Control Loop Concept." INCOSE International Symposium 16, no. 1 (2006): 1733–48. http://dx.doi.org/10.1002/j.2334-5837.2006.tb02847.x.

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38

Harris, Thomas J. "Assessment of control loop performance." Canadian Journal of Chemical Engineering 67, no. 5 (1989): 856–61. http://dx.doi.org/10.1002/cjce.5450670519.

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39

Wang, Li, Fan Zhang, and Yali Xue. "A comparative study of single-loop control and multi-loop control of gas turbine." IFAC-PapersOnLine 55, no. 9 (2022): 525–30. http://dx.doi.org/10.1016/j.ifacol.2022.07.091.

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40

Hu, Fa Huan, Xiao Tong Qiu, and Jun Tang. "Application of Fuzzy PI Control to Speed Control System of Brushless DC Motor." Advanced Materials Research 516-517 (May 2012): 1575–79. http://dx.doi.org/10.4028/www.scientific.net/amr.516-517.1575.

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Basing on analysis the principle and mathematical model of the brushless DC motor, the paper proposes a control model on the basis of speed loop and current loop, fuzzy PI control model is adopted in the speed loop, and traditional PID control model is used in the current loop. It is showed that when the load or parameters vary, comparing to traditional PID control model, the fuzzy PI control model gets less fluctuation and better robustness.

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41

Alagöz, Barış Baykant, Furkan Nur Deniz, and Cemal Keleş. "REVISITING BODE’S IDEAL LOOPS: INTEGRAL SQUARE ERROR OPTIMALITY OF BODE’S IDEAL LOOPS AND BODE’S IDEAL LOOP INVERSE CONTROLLER DESIGN." Mühendislik Bilimleri ve Tasarım Dergisi 13, no. 1 (2025): 202–20. https://doi.org/10.21923/jesd.1452157.

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Bode’s ideal loop models have been utilized in control system designs to obtain performance robustness for the Direct Current (DC) gain variations. However, effects of crossover frequency and fractional order on control optimality of Bode's ideal loop reference models have not been sufficiently discussed, and it may raise a question of whether a control system design based on Bode’s ideal loop reference model is optimal. In this regard, this study revisits Bode’s ideal loops to investigate Integral Square Error (ISE) optimality of Bode’s ideal loops. For this purpose, the ISE optimality of Bod

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42

Amalia, Norma, Eka Setia Nugraha, and Muntaqo Alfin Amanaf. "Open Loop and Closed Loop Power Control Analysis on LTE." JURNAL INFOTEL 10, no. 4 (2018): 195. http://dx.doi.org/10.20895/infotel.v10i4.399.

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LTE downlink is using Orthogonal Frequency Division Multiple Access (OFDMA) multiple access system which have high invulnerability from multipath problem. One of the weakness of OFDM system is the high level from Peak to Average Power Ratio (PAPR) that was required higher level transmit power for maintaining the Bit Error Rate (BER) requirement. Using uplink scheme with Single Carrier FDMA (SC-FDMA) which is OFDMA modification, will be offered better level of PAPR than its conventional OFDM. The main problem of using OFDMA is the high level of PAPR, while using SC-FDMA the problem is intra-cel

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43

Kogan, Konstantin. "Production control under uncertainty: Closed-loop versus open-loop approach." IIE Transactions 41, no. 10 (2009): 905–15. http://dx.doi.org/10.1080/07408170902973944.

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44

Chao-Hwa Yang, D. Y. Chen, C. Jamerson, and Yan Pei Wu. "Stabilizing magamp control loop by using an inner-loop compensation." IEEE Transactions on Power Electronics 6, no. 3 (1991): 419–29. http://dx.doi.org/10.1109/63.85910.

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45

Gabasov, R., F. M. Kirillova, and N. V. Balashevich. "OPEN-LOOP AND CLOSED-LOOP OPTIMIZATION OF LINEAR CONTROL SYSTEMS." Asian Journal of Control 2, no. 3 (2008): 155–68. http://dx.doi.org/10.1111/j.1934-6093.2000.tb00154.x.

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46

Zakaria, Diky, Dewi Indriati Hadi Putri, Muhammad Rizalul Wahid, et al. "Simple Control System Training for Students and Teachers of Vocational School in Purwakarta." REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat 4, no. 3 (2023): 255–62. http://dx.doi.org/10.26760/rekaelkomika.v4i3.255-262.

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Everyday life depends on control systems. If a system has a good control system, it will give you the results we want. Through the control system, we can change things like temperature, speed, pressure, level, and other physical numbers to the way you want them to be. There are two kinds of control system: open loop control and closed loop control. The open loop control system is the easiest to use because the person controls the system without getting any feedback. While the closed loop control system will get feedback from the system output so that the system will automatically reach the des

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47

Li, Da, Jian Zhang, Yifei Zhuang, Cheng Zhen, and Jiawei Zhang. "Simulation application of support vector machine feedforward control in gas turbine load control." Journal of Physics: Conference Series 2835, no. 1 (2024): 012073. http://dx.doi.org/10.1088/1742-6596/2835/1/012073.

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Abstract To address the challenges of excessive overshoot, prolonged settling time, and complex PID parameter tuning in gas turbine load control, this study investigates a gas turbine load control system utilizing support vector machine feedforward control. Firstly, the load control loop is decomposed, and the existing model structure is integrated with the load control section. Subsequently, the gas turbine load loop is modeled based on field test data. Following this, a gas turbine load control system incorporating a support vector machine feedforward loop is constructed in the MATLAB/Simuli

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48

Fang, Qian, Yong Zhou, Shangjun Ma, Chao Zhang, Ye Wang, and Haibin Huangfu. "Electromechanical Actuator Servo Control Technology Based on Active Disturbance Rejection Control." Electronics 12, no. 8 (2023): 1934. http://dx.doi.org/10.3390/electronics12081934.

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Electromechanical actuators (EMA) are becoming more and more widely used. As the core technology of EMA, servo control technology determines their performance. In this paper, an active disturbance rejection control (ADRC) method with an improved extended state observer (ESO) is proposed to design a cascade controller of EMA based on permanent magnet synchronous motor (PMSM). The mathematical model of PMSM in a two-phase rotating coordinate system is established, then it is decoupled by an id=0 current control method to realize the vector control of the motor. In a three closed-loop vector cont

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49

Glizer, Valery Y., and Vladimir Turetsky. "One Class of Stackelberg Linear–Quadratic Differential Games with Cheap Control of a Leader: Asymptotic Analysis of an Open-Loop Solution." Axioms 13, no. 11 (2024): 801. http://dx.doi.org/10.3390/axioms13110801.

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We consider a two-player finite horizon linear–quadratic Stackelberg differential game. For this game, we study the case where the control cost of a leader in the cost functionals of both players is small, which means that the game under consideration is a cheap control game. We look for open-loop optimal players’ controls of this game. Using the game’s solvability conditions, the obtaining such controls is reduced to the solution to a proper boundary-value problem. Due to the smallness of the leader’s control cost, this boundary-value problem is singularly perturbed. Asymptotic behavior of th

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50

Ali, Nur Husnina Mohamad, Rozaimi Ghazali, Hazriq Izzuan Jaafar, Muhammad Fadli Ghani, Chong Chee Soon, and Zulfatman Has. "Comparison Study between Open-Loop and Closed-Loop Identification for Industrial Hydraulics Actuator System." International Journal of Mechanical Engineering and Robotics Research 13, no. 5 (2024): 516–21. http://dx.doi.org/10.18178/ijmerr.13.5.516-521.

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In control applications involving motion control, precise control of the Industrial Hydraulics Actuator (IHA) is necessary to accurately assess the position of the actuator rod. Non-recursive identification is used to model the system with an open-loop and closed-loop approach for this paper. The grey box approach is used to estimate the continuous model and parameter estimation for the system. The System Identification toolbox in MATLAB is used for the model estimation. The process starts by obtaining the input-output data from the experimental work. The input-output data validation outcome r

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