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Journal articles on the topic 'Digital control systems'

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Published: 4 June 2021
Last updated: 29 July 2024

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1

Taylor, P. M. "Digital Control Systems." Electronics and Power 32, no. 1 (1986): 77. http://dx.doi.org/10.1049/ep.1986.0043.

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2

Taylor, P. M. "Industrial Digital Control Systems." IEE Review 35, no. 4 (1989): 146. http://dx.doi.org/10.1049/ir:19890067.

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3

Prime, H. A. "Industrial Digital Control Systems." Electronics and Power 33, no. 1 (1987): 72. http://dx.doi.org/10.1049/ep.1987.0047.

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4

Cox, Chris. "Industrial digital control systems." Microprocessors and Microsystems 11, no. 6 (July 1987): 350. http://dx.doi.org/10.1016/0141-9331(87)90518-7.

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5

Wilson, Raymond A. "Book Reviews: Digital Control Systems:." International Journal of Electrical Engineering & Education 34, no. 2 (April 1997): 184–86. http://dx.doi.org/10.1177/002072099703400222.

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6

Aqel, Musbah, A. I. Sheikh Ahmad, and P. K. Mahanti. "Simulation of Digital Control Systems." Systems Analysis Modelling Simulation 42, no. 10 (January 2002): 1419–28. http://dx.doi.org/10.1080/713745638.

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7

May, Marvin Carl, Andreas Kuhnle, and Gisela Lanza. "Digitale Produktion und intelligente Steuerung/Digital Production and Intelligent Production Control – Integrating digital and real-world production for adaptive and automated control." wt Werkstattstechnik online 110, no. 04 (2020): 255–60. http://dx.doi.org/10.37544/1436-4980-2020-04-89.

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Im Rahmen der stufenweisen Umsetzung von Industrie 4.0 erreicht die Vernetzung und Digitalisierung die gesamte Produktion. Den physischen Produktionsprozess nicht nur cyber-physisch zu begleiten, sondern durch eine virtuelle, digitale Kopie zu erfassen und zu optimieren, stellt ein enormes Potenzial für die Produktionssystemplanung und -steuerung dar. Zudem erlauben digitale Modelle die Anwendung intelligenter Produktionssteuerungsverfahren und leisten damit einen Beitrag zur Verbreitung optimierender adaptiver Systeme.   In the wake of implementing Industrie 4.0 both integration and digitalization affect the entire production. Physical production systems offer enormous potential for production planning and control through virtual, digital copies and their optimization, well beyond purely cyber-physical production system extensions. Furthermore, digital models enable the application of intelligent production control and hence contribute to the dissemination of adaptively optimizing systems.
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8

HARA, Shinji, Manabu NAKAJIMA, and Pierre T. KABAMBA. "Robust Stabilization in Digital Control Systems." Transactions of the Society of Instrument and Control Engineers 28, no. 1 (1992): 10–19. http://dx.doi.org/10.9746/sicetr1965.28.10.

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9

Salvara, Aikaterini-Lampro N., Sofia D. Kordolaimi, and Maria E. Lyra. "Digital Radiographic Systems Quality Control Procedures." Recent Patents on Medical Imaginge 2, no. 1 (April 1, 2012): 51–64. http://dx.doi.org/10.2174/1877613211202010051.

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10

Martynov, V. G., I. Yu Eremina, N. B. Efimochkina, and I. Yu Chuprova. "Social capital in digital control systems." Problems of Economics and Management of Oil and Gas Complex, no. 6 (2021): 47–53. http://dx.doi.org/10.33285/1999-6942-2021-6(198)-47-53.

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11

Smith, G. "Digital Control. in Material Testing Systems." Materials Testing 34, no. 9 (September 1, 1992): 275–80. http://dx.doi.org/10.1515/mt-1992-340904.

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12

Marc, Bekemans, Acconci Terence, Van Humbeeck Thierry, and Van Esbeen Alain. "Digital Control For Power Management Systems." E3S Web of Conferences 16 (2017): 18010. http://dx.doi.org/10.1051/e3sconf/20171618010.

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13

Stuber, G. L., L. B. Yiin, E. M. Long, and K. Yang. "Outage control in digital cellular systems." IEEE Transactions on Vehicular Technology 40, no. 1 (February 1991): 177–97. http://dx.doi.org/10.1109/25.69986.

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14

Hirche, Sandra, and Jan Lunze. "Digital vernetzte Regelungssysteme (Networked Control Systems)." at - Automatisierungstechnik 56, no. 1/2008 (January 2008): 1–3. http://dx.doi.org/10.1524/auto.2008.9049.

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15

BARB, FLORIN DAN, and WILLEM L. DE KONING. "Digital control of Pritchard-Salamon systems." International Journal of Systems Science 26, no. 10 (October 1995): 1855–73. http://dx.doi.org/10.1080/00207729508929141.

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16

Larkin, Eugene, Alexey Bogomolov, and Sergey Feofilov. "Stability of digital feedback control systems." MATEC Web of Conferences 161 (2018): 02004. http://dx.doi.org/10.1051/matecconf/201816102004.

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Specific problems arising, when Von Neumann type computer is used as feedback element, are considered. It is shown, that due to specifics of operation this element introduce pure lag into control loop, and lag time depends on complexity of algorithm of control. Method of evaluation of runtime between reading data from sensors of object under control and write out data to actuator based on the theory of semi- Markov process is proposed. Formulae for time characteristics estimation are obtained. Lag time characteristics are used for investigation of stability of linear systems. Digital PID controller is divided onto linear part, which is realized with a soft and pure lag unit, which is realized with both hardware and software. With use notions amplitude and phase margins, condition for stability of system functioning are obtained. Theoretical results are confirm with computer experiment carried out on the third-order system.
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17

Chotai, A., P. C. Young, P. Davis, and Z. S. Chalabi. "True digital control of glasshouse systems." IFAC Proceedings Volumes 24, no. 11 (September 1991): 41–46. http://dx.doi.org/10.1016/b978-0-08-041273-3.50012-4.

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18

El-Hajj, Ali, Sami Karaki, and Karim Y. Kabalan. "Digital control systems simulation using spreadsheets." Computer Applications in Engineering Education 11, no. 1 (2003): 6–12. http://dx.doi.org/10.1002/cae.10034.

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19

Liu, Guo-Ping. "Control Strategies for Digital Twin Systems." IEEE/CAA Journal of Automatica Sinica 11, no. 1 (January 2024): 170–80. http://dx.doi.org/10.1109/jas.2023.123834.

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20

Verteshev, Sergei, and Vladimir Konevtsov. "DIRECT DIGITAL CONTROL IN A COMPLEX OF SOFTWARE DESIGN OF DIGITAL CONTROL SYSTEMS." Environment. Technology. Resources. Proceedings of the International Scientific and Practical Conference 3 (June 15, 2017): 332. http://dx.doi.org/10.17770/etr2017vol3.2534.

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This article provides the functionality of creating direct digital control devices in the computer-aided design of digital automatic control systems (CAD of digital ACS), in a complex of software design of digital control systems (SDSDC complex) for automated process control systems. Technical tools are defined by the international standard IEC 61131-1: 2003 (Part 1: General data). The possibility of implementing SDSDC complex in direct digital control, single-cycle and multi-cycle ladder diagrams, identification of objects of management and synthesis of digital controllers in comparison with the international standard IEC 61131-3: 2003 (Part 3: Programming Languages) are evaluated. Users’ productivity is estimated as well as the possibility of its separation between the users at different stages of the design of digital systems of automatic control is assessed.
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21

Verteshev, Sergei, and Vladimir Konevtsov. "DIRECT DIGITAL CONTROL IN A COMPLEX OF SOFTWARE DESIGN OF DIGITAL CONTROL SYSTEMS." Environment. Technology. Resources. Proceedings of the International Scientific and Practical Conference 3 (June 15, 2017): 337. http://dx.doi.org/10.17770/etr2017vol3.2536.

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This article provides the functionality of creating direct digital control devices in the computer-aided design of digital automatic control systems (CAD of digital ACS), in a complex of software design of digital control systems (SDSDC complex) for automated process control systems. Technical tools are defined by the international standard IEC 61131-1: 2003 (Part 1: General data). The possibility of implementing SDSDC complex in direct digital control, single-cycle and multi-cycle ladder diagrams, identification of objects of management and synthesis of digital controllers in comparison with the international standard IEC 61131-3: 2003 (Part 3: Programming Languages) are evaluated. Users’ productivity is estimated as well as the possibility of its separation between the users at different stages of the design of digital systems of automatic control is assessed.
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22

Konovalov, Yuriy, Nikita Zhukov, and Behrus Salimov. "ELECTRIC MOTORS IN DIGITAL CONTROL SYSTEMS FOR ELECTROMECHANICAL SYSTEMS." Modern Technologies and Scientific and Technological Progress 2022, no. 1 (May 16, 2022): 221–22. http://dx.doi.org/10.36629/2686-9896-2022-1-221-222.

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23

Subrahmanyam, M. B. "Reading up books: Digital control systems: Current texts on continuous and digital control." IEEE Potentials 5, no. 2 (May 1986): 17–18. http://dx.doi.org/10.1109/mp.1986.6500828.

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24

YASUDA, Kazunori, Yoshifumi ITO, and Kazumasa HIRAI. "Design of Digital Sliding Mode Control Systems." Transactions of the Society of Instrument and Control Engineers 23, no. 5 (1987): 478–84. http://dx.doi.org/10.9746/sicetr1965.23.478.

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25

SUNG, Hak-Kyung, and Shinji HARA. "Complementary Sensitivity Characteristics in Digital Control Systems." Transactions of the Society of Instrument and Control Engineers 26, no. 9 (1990): 1101–3. http://dx.doi.org/10.9746/sicetr1965.26.1101.

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26

Fan, JIACHUN, and Kenji KUROSU. "Digital Repetitive Control for Linear Mechanical Systems." Transactions of the Society of Instrument and Control Engineers 26, no. 8 (1990): 942–47. http://dx.doi.org/10.9746/sicetr1965.26.942.

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27

Maki, Ghadeer I., and Zahir M. Hussain. "Deep Learning for Control of Digital Systems." Journal of Physics: Conference Series 1804, no. 1 (February 1, 2021): 012086. http://dx.doi.org/10.1088/1742-6596/1804/1/012086.

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28

Ushio, T., and C. Hsu. "Chaotic rounding error in digital control systems." IEEE Transactions on Circuits and Systems 34, no. 2 (February 1987): 133–39. http://dx.doi.org/10.1109/tcs.1987.1086113.

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29

Andrews, C. W. "Book Review: Analogue and Digital Control Systems." International Journal of Electrical Engineering & Education 26, no. 3 (July 1989): 275–76. http://dx.doi.org/10.1177/002072098902600330.

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30

Starovoytov, S. I., Yu S. Tsench, V. M. Korotchenya, and G. I. Lichman. "Technical Systems for Digital Soil Quality Control." Agricultural Machinery and Technologies 14, no. 1 (March 24, 2020): 16–21. http://dx.doi.org/10.22314/2073-7599-2020-14-1-16-21.

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The production of tillage equipment is focused on the growing use of soil-protective and resource-saving farming and the use of the precision agriculture in tillage principles. The differentiated tillage concept arose, and occupied an intermediate position between traditional and anti-erosion (shallow) types of tillage. The authors conducted an analysis of technical systems for tillage quality digital control taking into account the indicated trends. They indicated that there was a certain inconsistency in the soil cultivation systems names in the scientific literature. (Research purpose) To provide an analytical overview of the tillage digital quality control technical systems. (Materials and methods) The authors used manufacturers’ brochures of tillage equipment, patents and scientific works. (Results and discussion) The authors examined the commercial offers existing in the world market in the differentiated tillage and digital quality control systems spheres. They presented an analysis of similar solutions available in the world scientific literature. They studied the issues of controlling the angle of disks’ attack, the depth of tillage, the soil surface ridging, the average size of the soil lumps, the amount of crop residues, determining the soil properties in a non-contact way. They identified the fragmentation of scientific and industrial developments in the sphere of tillage quality control. They suggested combining them into one system to automate the process of differentiated tillage. (Conclusions) It was shown that tillage equipment is becoming more adaptable in terms of meeting the specific requirements of the farmer for tillage. The authors identified promising areas for the future development of tillage machines: the inclusion of different subsystems of tillage quality digital control in the same system and the automation of differentiated tillage.
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31

Kim, S. W. "Error control codes for digital recording systems." IEEE Transactions on Consumer Electronics 35, no. 4 (1989): 907–16. http://dx.doi.org/10.1109/30.106916.

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32

Liantsev, O. D. "Stability of digital multiply connected control systems." Proceedings of the Mavlyutov Institute of Mechanics 3 (2003): 308–19. http://dx.doi.org/10.21662/uim2003.1.025.

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The problem of theoretical investigation of the stability of digital multiply connected control systems and the influence on the stability of errors of numerical values of the parameters of the model of the control object and ways of implementing the control law are considered.
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33

Bazhanov, V. L. "Smith predictor in digital feedback control systems." Automation and Remote Control 71, no. 8 (August 2010): 1695–704. http://dx.doi.org/10.1134/s0005117910080175.

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34

YOSHIKAWA, Tsuneo, Toshiharu SUGIE, and Junichi IMURA. "Digital Robust Control of Nonlinear Mechanical Systems." Transactions of the Institute of Systems, Control and Information Engineers 3, no. 9 (1990): 298–309. http://dx.doi.org/10.5687/iscie.3.298.

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35

Luo, Fang Lin, and Roland J. Hill. "Disturbance Response Techniques for Digital Control Systems." IEEE Transactions on Industrial Electronics IE-32, no. 3 (August 1985): 245–53. http://dx.doi.org/10.1109/tie.1985.350166.

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36

Furuta, K. "CAD for Education of Digital Control Systems." IFAC Proceedings Volumes 18, no. 8 (July 1985): 19–22. http://dx.doi.org/10.1016/s1474-6670(17)60335-5.

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37

Masten, Michael K., and Issa Panahi. "Digital Signal Processors in Modern Control Systems." IFAC Proceedings Volumes 29, no. 1 (June 1996): 7213–17. http://dx.doi.org/10.1016/s1474-6670(17)58845-x.

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38

Wu, Y. A. "Reduced-Delay Compensation in Digital Control Systems." IFAC Proceedings Volumes 20, no. 5 (July 1987): 371–74. http://dx.doi.org/10.1016/s1474-6670(17)55305-7.

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39

Garrett, Chris J., and George E. Apostolakis. "Automated hazard analysis of digital control systems." Reliability Engineering & System Safety 77, no. 1 (July 2002): 1–17. http://dx.doi.org/10.1016/s0951-8320(02)00007-8.

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40

Masten, M. K., and I. Panahi. "Digital signal processors for modern control systems." Control Engineering Practice 5, no. 4 (April 1997): 449–58. http://dx.doi.org/10.1016/s0967-0661(97)00024-5.

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41

EL-SHERBINI, AHMED. "ERROR CONTROL IN DIGITAL SPACE COMMUNICATION SYSTEMS." International Conference on Aerospace Sciences and Aviation Technology 1, CONFERENCE (May 1, 1985): 1–9. http://dx.doi.org/10.21608/asat.1985.26589.

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42

ALY, GAMAL M., and WAHIED G. ALI. "Digital design of variable structure control systems." International Journal of Systems Science 21, no. 8 (August 1990): 1709–20. http://dx.doi.org/10.1080/00207729008910487.

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43

Sinha, A., and Y. P. Wang. "Digital Control Algorithms for Microgravity Isolation Systems." Journal of Vibration and Acoustics 115, no. 3 (July 1, 1993): 256–63. http://dx.doi.org/10.1115/1.2930342.

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New digital control algorithms have been developed to achieve the desired transmissibility function for a microgravity isolation system. Two approaches have been presented for the controller design in the context of a single degree of freedom system for which an attractive electromagnet is used as the actuator. The relative displacement and the absolute acceleration of the mass have been used as feedback signals. The results from numerical studies are presented. It has been found that the resulting transmissibility is quite close to the desired function. Also, the maximum coil currents required by new algorithms are smaller than the maximum current demanded by the previously proposed lead/lag method.
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44

Bhattacharjee, Biddut, and Homayoun Najjaran. "Droplet position control in digital microfluidic systems." Biomedical Microdevices 12, no. 1 (October 13, 2009): 115–24. http://dx.doi.org/10.1007/s10544-009-9366-9.

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45

Gildfind, Andrew, Michael A. Gigante, and Ghassan Al-Qaimari. "Evolving performance control systems for digital puppetry." Journal of Visualization and Computer Animation 11, no. 4 (2000): 169–83. http://dx.doi.org/10.1002/1099-1778(200009)11:4<169::aid-vis217>3.0.co;2-l.

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46

Liu, Ying-Ying, and Guang-Hong Yang. "Sampled-dataH∞control for networked control systems with digital control inputs." International Journal of Systems Science 43, no. 9 (September 2012): 1728–40. http://dx.doi.org/10.1080/00207721.2010.550401.

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47

Luse, D. William. "Applied digital control." Automatica 22, no. 4 (July 1986): 501–3. http://dx.doi.org/10.1016/0005-1098(86)90059-2.

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48

Yue, Ming, and Bao Guang Wang. "Servo Motor Control Lifter Systems by Digital PID Control Method." Applied Mechanics and Materials 130-134 (October 2011): 256–59. http://dx.doi.org/10.4028/www.scientific.net/amm.130-134.256.

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Aiming at the wild used tide gauge, a research project has been made. The purpose of the project is to build a standard test equipment which is used for calibration. The principle of the tide gauge is imitating water-level fluctuation of diurnal tides or semi-diurnal tides, based on controlling dynamic water flow which is 10 meters high and 8 tons heavy. This is a national standard test equipment which will be used by Tianjin National oceanic standard measuring center. In this paper, the digital PID control method is used for computerizing servo motor .First, the principle of servo motor control has been discussed, and then PID adjusting theory and method are also introduced. At the same time, software compiled is used to control servo motor. In the end, the corresponding results can be output on the hardware platform. The method above has been proven advisable.
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49

TIEDEMANN, A. R., R. M. DEKKERS, and W. L. de KONING. "Digital optimal control of continuous-time systems with control delay." International Journal of Control 42, no. 6 (December 1985): 1337–45. http://dx.doi.org/10.1080/00207178508933429.

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50

Lee, H. J., L. S. Shieh, and D. W. Kim. "Digital control of nonlinear systems: optimal linearisation-based digital redesign approach." IET Control Theory & Applications 2, no. 4 (April 1, 2008): 337–51. http://dx.doi.org/10.1049/iet-cta:20070074.

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