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Journal articles on the topic 'Electrical control'

Author: Grafiati

Published: 23 November 2024

Last updated: 20 June 2025

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1

Kjellin, Jon, Sandra Eriksson, and Hans Bernhoff. "Electric Control Substituting Pitch Control for Large Wind Turbines." Journal of Wind Energy 2013 (September 18, 2013): 1–4. http://dx.doi.org/10.1155/2013/342061.

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A completely electrical control of a variable speed wind turbine is experimentally verified. A vertical axis wind turbine with a direct driven generator and an electrical system with diode rectification and full inverter connected to the electric grid is presented. This is the first paper that presents this novel 200 kW wind power plant erected at the west coast of Sweden. The turbine has fixed pitch and is only controlled electrically accommodated by passive stall of the blades. By electrically controlling the generator rotational speed with the inverter, passive stall regulation is enabled. The first results on experimental verification of stall regulation in gusty wind speeds are presented. The experiments show that the control system can keep the turbine rotational speed constant even at very gusty winds. It is concluded that electrical control accommodated by passive stall is sufficient as control of the wind turbine even at high wind speeds and can substitute mechanical control such as blade pitch.

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2

Efremenko, Yulia, and Vladimir M. Mirsky. "Electrical Control of the Receptor Affinity." Engineering Proceedings 6, no. 1 (2021): 3. http://dx.doi.org/10.3390/i3s2021dresden-10084.

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A concept of virtual sensor array based on an electrically controlled variation of affinity properties of the receptor layer was realized on the base of integrated electrochemical chemotransistor containing conducting polymer as the receptor layer. Electrical control of the redox-state of the polymer (polyaniline) was performed in a five-electrode configuration with four electrodes for conductivity measurements and Ag/AgCl reference electrode integrated on the same glass chip. An ionic liquid provided an electrical connection between the reference electrode and chemosensitive material. Conductivity measurements demonstrated potential controlled electrochemical conversions of the receptor material between different redox states. The binding of trimethylamine at three different potentials corresponding to these states was studied. The results demonstrated that both kinetic- and equilibrium-binding properties of the receptor are controlled by the electrical potential, thus providing a possibility to form a virtual sensor array using only a single sensing element. The concept was applied for monitoring fish headspace. Using three characteristics of the sensor response measured at three different redox states of the same sensor material, we obtained signals from a virtual sensor array consisting of nine chemosensitive elements. The sensor displays systematic changes of its nine signals during fish degradation. This approach can be applied also for the electrical control of the affinity of immunoglobulins. Development of new materials with electrically controlled affinity is in progress.

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3

Shulman, Abraham, Juergen Tonndorf, and Barbara Goldstein. "Electrical Tinnitus Control." Acta Oto-Laryngologica 99, no. 3-4 (1985): 318–25. http://dx.doi.org/10.3109/00016488509108916.

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4

Stajic, Jelena. "Taking electrical control." Science 366, no. 6467 (2019): 833.17–835. http://dx.doi.org/10.1126/science.366.6467.833-q.

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5

ASANO, Akira, Tetsuya TAKATA, and Hideo NAKAMURA. "1A21 Integrated train control system : The new direction of train control system(Electrical-Power)." Proceedings of International Symposium on Seed-up and Service Technology for Railway and Maglev Systems : STECH 2015 (2015): _1A21–1_—_1A21–9_. http://dx.doi.org/10.1299/jsmestech.2015._1a21-1_.

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6

SINCHUK, Oleg, and Victor GORSHKOV. "CONTROL SYSTEM OF THE ELECTRICAL COMPLEX OF STREET LIGHTING." Herald of Khmelnytskyi National University. Technical sciences 311, no. 4 (2022): 232–36. http://dx.doi.org/10.31891/2307-5732-2022-311-4-232-236.

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To date, taking into account the strategies for the development of control systems and the active introduction of distributed generation sources into various spheres of the world economy, including those based on renewable sources of electrical energy, hybrid systems of artificial outdoor lighting controlled by intelligent control systems are being developed. The paper proposes an approach to the construction of an external lighting control system on city highways and public places. Regulation of external lighting is carried out by adjusting the luminous flux of lamps, and the sources of luminous flux are the lamps with which they are equipped. But not all types of lamps are suitable for adjusting the smooth change of light flux. If there is a communication channel between the network of lamps equipped with EIDs and the dispatching service, it is possible to transmit information about the state of operation of EIDs and the performance of lamps in order to detect deviations in the operation of EIDs and lamps that need to be replaced. In accordance with the given schedule for changing the level of external lighting, the KD software sends a command to change the level of light flux on specific lamps. The control unit transmits incoming information (a command) to the control unit, which, together with the lamp control channel connected to it, forms a local lighting control network. The decentralized outdoor lighting control system provides for the absence of a control room, server, server access devices, as well as the Internet as a means of communication, executive equipment of the substation and replacement of the PUS with the APUS, as well as the presence of service personnel who will service the equipment of the APUS substation, KOP and SC, as a result of the lack of feedback from the APUS to the OP, i.e. the maintenance of the PS is carried out directly by maintenance and programming specialists Thus, a scheme for decentralized management of outdoor lighting on city highways and public places was proposed.

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7

Ma'shumah, Siti, and Ellys Kumala Pramartaningthyas. "Electrital Electrical Conductivity Control System in Pakcoy Plant based on Fuzzy Logic Control." Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics 3, no. 4 (2021): 133–39. http://dx.doi.org/10.35882/ijeeemi.v3i4.2.

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Along with increasing consumption of vegetables as a fulfillment of nutrition in the community, it provides a breakthrough to create a new method of growing vegetables, namely using a system of growing vegetables using water called the hydroponic system. In the hydroponic system here using the Nutrient Film Technique (NFT), the NFT technique is a hydroponic cultivation method where roots grow in a shallow nutrient layer and are circulated to get nutrients, water, and oxygen continuously. One of the important things that are a measure of the success of a hydroponic system is the provision of nutrients to plants correctly. The nutrient solution concentration that plants need requires several different electrical conductivity. This study controlled the pakcoy plant using fuzzy logic, consisting of 2 inputs, a TDS sensor and an ultrasonic sensor. At the same time, the output given by the control of this system is the length of the pump opening. The pump for output is divided into 3, and the first is the pump for water, the second is the pump for nutrition A and the last is the pump for nutrition B. In this system, hydroponic nutrient control in pakcoy plants has been tried using fuzzy logic control with a success rate of ±70%. This shows that the system's experiment can run well, namely being able to maintain hydroponic nutrients in pakcoy plants.

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8

Steven Hou, L., and Janet S. Peterson. "Boundary optimal control for an electrically conducting fluid using boundary electrical potential controls." Nonlinear Analysis: Theory, Methods & Applications 24, no. 6 (1995): 857–74. http://dx.doi.org/10.1016/0362-546x(94)00120-7.

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9

Yamada, Kihiro T., Tomohiro Koyama, Haruka Kakizakai, et al. "Electrical control of superparamagnetism." Applied Physics Express 10, no. 1 (2016): 013004. http://dx.doi.org/10.7567/apex.10.013004.

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10

Mogul, David J., and Wim van Drongelen. "Electrical Control of Epilepsy." Annual Review of Biomedical Engineering 16, no. 1 (2014): 483–504. http://dx.doi.org/10.1146/annurev-bioeng-071813-104720.

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11

Nagy, István. "Control of electrical drives." Automatica 22, no. 5 (1986): 612–13. http://dx.doi.org/10.1016/0005-1098(86)90073-7.

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12

Ali Fahad Fahem. "A STUDY FOR CONVERSION OF MECHANICAL CONTROL SYSTEM TO ELECTRICAL CONTROL SYSTEM." Diyala Journal of Engineering Sciences 5, no. 1 (2012): 88–102. http://dx.doi.org/10.24237/djes.2012.05108.

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This paper study the conversion of the mechannical control system to electrical control system for the softdrink machine which use gears as timers in the process of counting the number of the bottles and in the process of controlling the level of the softdrink in the bottle. The electricl control system use electronical components such as integrate circuits (counters , timers , LCD display ) , using the counter to count the number of the bottles with the use of the photosensor ( in our paper counting every four bottles )and adjusting the level of the fluid by one of the following methods. The first method of controling the level of the liquid is by the timer which is fixed at time which is required to fill the bottle to the adequate level and it is adjustable according to the volume of the bottle. The Second method for conteroling the level of the liquid is the ultrasonic device which use the ultrasonic sensor to control the level of the fluid and it is adjustable according to the distance between the sensor and the bottle. The results of the electrical and mechanical models achived the satisfication results

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13

Hong, Fang-Yu, Jing-Li Fu, Yan Wu, and Zhi-Yan Zhu. "Electrical control of strong spin-phonon coupling in a carbon nanotube." Quantum Information and Computation 17, no. 1&2 (2017): 117–24. http://dx.doi.org/10.26421/qic17.1-2-7.

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We describe an approach to electrically control the strong interaction between a single electron spin and the vibrational motion of a suspended carbon nanotube resonator. The strength of the deflection-induced spin-phonon coupling is dependent on the wavefunction of the electron confined in a lateral carbon nanotube quantum dot. An electrical field along the nanotube shifts the effective center of the quantum dot, leading to the corresponding modification of the spin-phonon strength. Numerical simulations with experimentally reachable parameters show that high fidelity quantum state transfer between mechanical and spin qubits driven by electrical pulses is feasible. Our results form the basis for the fully electrical control of the coherent interconvertion between light and spin qubits and for manufacturing electrically driven quantum information processing systems.

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14

Nicaise, Serge, Simon Stingelin, and Fredi Tröltzsch. "On Two Optimal Control Problems for Magnetic Fields." Computational Methods in Applied Mathematics 14, no. 4 (2014): 555–73. http://dx.doi.org/10.1515/cmam-2014-0022.

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AbstractTwo optimal control problems for instationary magnetization processes are considered in 3D spatial domains that include electrically conducting and nonconducting regions. The magnetic fields are generated by induction coils. In the first model, the induction coil is considered as part of the conducting region and the electrical current is taken as control. In the second, the coil is viewed as part of the nonconducting region and the electrical voltage is the control. Here, an integro-differential equation accounts for the magnetic induction law that couples the given electrical voltage with the induced electrical current in the induction coil. We derive first-order necessary optimality conditions for the optimal controls of both problems. Based on them, numerical methods of gradient type are applied. Moreover, we report on the application of model reduction by POD that lead to tremendous savings. Numerical tests are presented for academic 3D geometries but also for a real-world application.

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15

Efken, Marc, Nils Kohn, Dietmar Greven, and Berno J. E. Misgeld. "Cooperative control of electrical bicycles." IFAC Journal of Systems and Control 16 (June 2021): 100153. http://dx.doi.org/10.1016/j.ifacsc.2021.100153.

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16

Barnaś, J. "Electrical Control of Magnetic States." Acta Physica Polonica A 118, no. 2 (2010): 199–203. http://dx.doi.org/10.12693/aphyspola.118.199.

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17

Morello, Andrea. "Electrical control of nuclear spins." Nature Nanotechnology 12, no. 10 (2017): 937–38. http://dx.doi.org/10.1038/nnano.2017.158.

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18

Stone, Jennifer A. "Electrical Stimulation for Edema Control." Athletic Therapy Today 1, no. 1 (1996): 48–49. http://dx.doi.org/10.1123/att.1.1.48.

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19

Rokhinson, Leonid P., Mason Overby, Alexandr Chernyshov, Yuli Lyanda-Geller, Xinyu Liu, and Jacek K. Furdyna. "Electrical control of ferromagnetic state." Journal of Magnetism and Magnetic Materials 324, no. 21 (2012): 3379–84. http://dx.doi.org/10.1016/j.jmmm.2012.02.047.

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20

De Carli, A. "Control Strategies for Electrical Drives." IFAC Proceedings Volumes 23, no. 8 (1990): 491–98. http://dx.doi.org/10.1016/s1474-6670(17)51872-8.

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21

Li, Yue, and David J. Mogul. "Electrical Control of Epileptic Seizures." Journal of Clinical Neurophysiology 24, no. 2 (2007): 197–204. http://dx.doi.org/10.1097/wnp.0b013e31803991c3.

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22

Li, Shuran, Jianmin Liu, Shilong Wang, et al. "Electrical control of electrostatic precipitation." Journal of Physics D: Applied Physics 51, no. 30 (2018): 304005. http://dx.doi.org/10.1088/1361-6463/aaccc7.

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23

TALALLA, ANDREW. "Electrical Stimulation for Bladder Control." Pacing and Clinical Electrophysiology 9, no. 2 (1986): 164–70. http://dx.doi.org/10.1111/j.1540-8159.1986.tb05388.x.

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24

Chiba, Daichi. "Electrical control at the interface." Nature Electronics 1, no. 6 (2018): 330. http://dx.doi.org/10.1038/s41928-018-0090-4.

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25

Berger, Thomas, and Timo Reis. "Funnel control for electrical circuits." PAMM 14, no. 1 (2014): 3–6. http://dx.doi.org/10.1002/pamm.201410002.

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26

Wan, Alwin M. D., Rebecca M. Schur, Christopher K. Ober, Claudia Fischbach, Delphine Gourdon, and George G. Malliaras. "Electrical Control of Protein Conformation." Advanced Materials 24, no. 18 (2012): 2501–5. http://dx.doi.org/10.1002/adma.201200436.

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27

Rubio, José de Jesús, Jesus Lopez, Jaime Pacheco, and Rodrigo Encinas. "Control of two Electrical Plants." Asian Journal of Control 20, no. 4 (2017): 1504–18. http://dx.doi.org/10.1002/asjc.1640.

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28

Adiguzel, Fatih, and Tarik Veli Mumcu. "Adaptive Backstepping Sliding Mode Control for ABS with Nonlinear Disturbance Observer." Electrica 21, no. 1 (2021): 121–28. http://dx.doi.org/10.5152/electrica.2021.20058.

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29

KIKUCHI, Takuya, and Ryo TAKAGI. "3E13 Fuzzy Charge/Discharge Control of Stationary Energy Storage Systems for DC Electric Railways by Using Estimated Line Receptivity(Electrical-Vehicle)." Proceedings of International Symposium on Seed-up and Service Technology for Railway and Maglev Systems : STECH 2015 (2015): _3E13–1_—_3E13–8_. http://dx.doi.org/10.1299/jsmestech.2015._3e13-1_.

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30

Zheng, Rencheng, and Kimihiko Nakano. "1B21 A Novel Position Control Strategy Based on Electrical Energy Consumption Analysis." Proceedings of the Symposium on the Motion and Vibration Control 2010 (2010): _1B21–1_—_1B21–11_. http://dx.doi.org/10.1299/jsmemovic.2010._1b21-1_.

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31

Sharma, Ravindra, and Chandrakant Sharma. "Mitigating Nonlinear Harmonics in Diesel Electrical Ship Network by Model Predictive Control." International Journal of Science and Research (IJSR) 13, no. 10 (2024): 510–15. http://dx.doi.org/10.21275/sr241005223632.

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32

Zhou, Qing. "Interference signal control algorithm for mechatronics electrical control platform." Journal of Discrete Mathematical Sciences and Cryptography 20, no. 6-7 (2017): 1411–15. http://dx.doi.org/10.1080/09720529.2017.1392455.

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33

Harnefors, Lennart, Seppo E. Saarakkala, and Marko Hinkkanen. "Speed Control of Electrical Drives Using Classical Control Methods." IEEE Transactions on Industry Applications 49, no. 2 (2013): 889–98. http://dx.doi.org/10.1109/tia.2013.2244194.

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34

Liu, Weigang. "Computer Control System Application for Electrical Engineering and Electrical Automation." IOP Conference Series: Materials Science and Engineering 452 (December 13, 2018): 042200. http://dx.doi.org/10.1088/1757-899x/452/4/042200.

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35

Yamada, Naohito, Jun Yoshikawa, Yuji Katsuda, and Hiroaki Sakai. "Electrical Resistivity Control of Hot-Pressed Aluminum Nitride Ceramics." Key Engineering Materials 403 (December 2008): 49–52. http://dx.doi.org/10.4028/www.scientific.net/kem.403.49.

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Aluminum Nitride (AlN) ceramics are used as wafer heating plates and wafer holding electrostatic chucks in semiconductor fabrication equipments. For tailoring the electrical resistivity to satisfy the requirements of each component, several kinds of approaches were investigated for hot-pressed AlN ceramics. Three techniques to control the electrical resistivity of AlN ceramics were adopted: (1) AlN intragranular control, (2) intergranular phase control and (3) incorporation of electrically conductive second phase particles. In this paper, we introduce examples of each technique. The first one is addition of a small amount of Y2O3. The resistivity varied from 1015 Ωcm to 1010 Ωcm with the Y2O3 amount. The second one is addition of Sm2O3. The resistivity also varied from 1015 Ωcm to 1010 Ωcm with the Sm2O3 amount. The third one is incorporation of in-situ synthesized Boron Carbonitride (B-C-N). Networking of B-C-N platelets drastically decreased the resistivity to the range less than 102 Ωcm. By these techniques, it was possible to control the resistivity of AlN ceramics in a wide range with a small amount of additives.

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36

Zhang, Ke, Yang Wei, Jin Zhang, et al. "Electrical control of spatial resolution in mixed-dimensional heterostructured photodetectors." Proceedings of the National Academy of Sciences 116, no. 14 (2019): 6586–93. http://dx.doi.org/10.1073/pnas.1817229116.

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Low-dimensional nanomaterials, such as one-dimensional (1D) nanomaterials and layered 2D materials, have exhibited significance for their respective unique electronic and optoelectronic properties. Here we show that a mixed-dimensional heterostructure with building blocks from multiple dimensions will present a synergistic effect on photodetection. A carbon nanotube (CNT)–WSe2–graphene photodetector is representative on this issue. Its spatial resolution can be electrically switched between high-resolution mode (HRM) and low-resolution mode (LRM) revealed by scanning photocurrent microscopy (SPCM). The reconfigurable spatial resolution can be attributed to the asymmetric geometry and the gate-tunable Fermi levels of these low-dimensional materials. Significantly, an interference fringe with 334 nm in period was successfully discriminated by the device working at HRM, confirming the efficient electrical control. Electrical control of spatial resolution in CNT–WSe2–graphene devices reveals the potential of the mixed-dimensional architectures in future nanoelectronics and nano-optoelectronics.

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37

Williams, G. A., and M. J. Holt. "Vehicle Electrical Power Supply Systems and Their Impact on System Design." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 206, no. 3 (1992): 149–59. http://dx.doi.org/10.1243/pime_proc_1992_206_174_02.

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The electrical power system is the vital lifeline to most of the control systems on modern automobiles. The following general trends are observed. (a) increased use of electrically actuated systems, (b) increased use of electronic control, (c) increasing requirements for high-integrity power supplies for safety critical systems, (d) increased average electrical power consumption (heating, actuation, control systems), (e) increased electrical demand at engine idle combined with reducing idling speeds, (f) increased interest in higher voltage systems, (g) electrical system problems a major cause of roadside breakdowns. These trends clearly indicate major changes in the requirements of vehicle electrical power supply systems and will demand considerable activity from the vehicle industry in the next decade. An important aim of this paper is to illustrate and promote a systems view of electrical power while considering existing and future problems and opportunities.

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38

Ismail, Z. E. "ELECTRICAL CONTROL OF SOIL MOISTURE CONTENT." Journal of Soil Sciences and Agricultural Engineering 26, no. 11 (2001): 7269–78. http://dx.doi.org/10.21608/jssae.2001.256998.

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39

Nevmerzhytskyi, O. V., A. O. Demianenko, Yu V. Khokhlov, and Yu S. Yamnenko. "Combined control system of electrical devices." Electronics and Communications 16, no. 4 (2011): 118–21. http://dx.doi.org/10.20535/2312-1807.2011.16.4.246650.

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Hybrid remote control system for electricaldevices was considered. The structure of hybrid controller was proposed. The generalizedalgorithm for devices control based on theautomata theory was developed

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40

Song, Cheng, Bin Cui, Jingjing Peng, Haijun Mao, and Feng Pan. "Electrical control of magnetism in oxides." Chinese Physics B 25, no. 6 (2016): 067502. http://dx.doi.org/10.1088/1674-1056/25/6/067502.

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41

Brinton, Mark R., Yossi Mandel, Roopa Dalal, and Daniel Palanker. "Miniature Electrical Stimulator for Hemorrhage Control." IEEE Transactions on Biomedical Engineering 61, no. 6 (2014): 1765–71. http://dx.doi.org/10.1109/tbme.2014.2306672.

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42

Jacobina, C. B., M. B. deR Correa, T. M. Oliveiro, A. M. N. Lima, and E. R. C. da Silva. "Current control of unbalanced electrical systems." IEEE Transactions on Industrial Electronics 48, no. 3 (2001): 517–25. http://dx.doi.org/10.1109/41.925578.

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43

Stajic, J. "Electrical control of nuclear spin qubits." Science 344, no. 6188 (2014): 1128. http://dx.doi.org/10.1126/science.344.6188.1128-h.

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44

Sadr, Sajad, Davood Arab Khaburi, and Jose Rodriguez. "Predictive Slip Control for Electrical Trains." IEEE Transactions on Industrial Electronics 63, no. 6 (2016): 3446–57. http://dx.doi.org/10.1109/tie.2016.2543180.

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45

Lvovich, I. Ya, Ya E. Lvovich, A. P. Preobrazhenskiy, Yu P. Preobrazhenskiy, and O. N. Choporov. "Quality control of electrical energy production." IOP Conference Series: Materials Science and Engineering 862 (May 28, 2020): 062088. http://dx.doi.org/10.1088/1757-899x/862/6/062088.

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46

Mohammed, Mekkaoui, Zemalache Meguenni Kada, Omari Abdel Hafid, and Lotfi Motefai. "Electrical Vehicle Modeling and Backstepping Control." Indonesian Journal of Electrical Engineering and Computer Science 1, no. 1 (2016): 60. http://dx.doi.org/10.11591/ijeecs.v1.i1.pp60-70.

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Nowadays, the development of electric vehicles has become a general trend. Electrical vehicles have improved their performance, and have been made suitable for commercial and domestic use during the last decades. The proportional–integral–differential (PID) controller has been widely used in the industrial ﬁeld. It has a simple structure, and can be easily realized. The recursive backstepping design methodology is originally introduced inadaptive control theory to systematically construct the feedback control law, the parameter adaptation law and the associated Lyapunov function for a class of nonlinear systems satisfying certain structured properties. the backstepping control (BKC) is used to improve the robustness and real-time performance of the electrical vehicle system. Numerical simulation results show the effectiveness of this approach.

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47

Takeuchi, Wakana, Masato Ura, Mineo Hiramatsu, Yutaka Tokuda, Hiroyuki Kano, and Masaru Hori. "Electrical conduction control of carbon nanowalls." Applied Physics Letters 92, no. 21 (2008): 213103. http://dx.doi.org/10.1063/1.2936850.

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48

Landau, I. D., and F. Rolland. "Identification and Control of Electrical Drives." IFAC Proceedings Volumes 25, no. 29 (1992): 373–76. http://dx.doi.org/10.1016/s1474-6670(17)50595-9.

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49

Brod, Elad, Shai Nimri, Boaz Turner, and Uri Sivan. "Electrical control over antibody–antigen binding." Sensors and Actuators B: Chemical 128, no. 2 (2008): 560–65. http://dx.doi.org/10.1016/j.snb.2007.07.061.

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50

Fateh, Mohammad Mehdi. "Robust Fuzzy Control of Electrical Manipulators." Journal of Intelligent & Robotic Systems 60, no. 3-4 (2010): 415–34. http://dx.doi.org/10.1007/s10846-010-9430-y.

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