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Journal articles on the topic 'Industrial control applications'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Ramdani, A., S. Grouni, and M. Traïche. "Advanced Control Algorithm: Applications to Industrial Processes." International Journal of Information and Electronics Engineering 5, no. 6 (2015): 398–405. http://dx.doi.org/10.7763/ijiee.2015.v5.567.

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2

Grimble, cike J., and Andrzej W. Ordys. "Predictive control for industrial applications." Annual Reviews in Control 25 (January 2001): 13–24. http://dx.doi.org/10.1016/s1367-5788(01)00003-7.

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3

Grimble, Mike J., and Andrzej W. Ordys. "Predictive Control for Industrial Applications." IFAC Proceedings Volumes 33, no. 13 (2000): 1–12. http://dx.doi.org/10.1016/s1474-6670(17)37159-8.

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4

Prime, H. A. "Multivariable Control for Industrial Applications." Electronics and Power 33, no. 11-12 (1987): 747. http://dx.doi.org/10.1049/ep.1987.0435.

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5

Monmasson, E., L. Idkhajine, M. N. Cirstea, I. Bahri, A. Tisan, and M. W. Naouar. "FPGAs in Industrial Control Applications." IEEE Transactions on Industrial Informatics 7, no. 2 (2011): 224–43. http://dx.doi.org/10.1109/tii.2011.2123908.

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6

Carr, S. "Multivariable Control for Industrial Applications." IEE Proceedings D Control Theory and Applications 135, no. 6 (1988): 500. http://dx.doi.org/10.1049/ip-d.1988.0077.

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7

Scharf, E. M. "Industrial Applications of Fuzzy Control." European Journal of Operational Research 29, no. 1 (1987): 116–17. http://dx.doi.org/10.1016/0377-2217(87)90205-0.

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8

Linke, Andreas. "Industrial Control Applications using the Wireless Application Protocol (WAP)." IFAC Proceedings Volumes 34, no. 9 (2001): 53–58. http://dx.doi.org/10.1016/s1474-6670(17)41681-8.

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9

SUGIMOTO, Koichi. "Industrial Applications of Force Feedback Control." Journal of the Robotics Society of Japan 9, no. 6 (1991): 794–98. http://dx.doi.org/10.7210/jrsj.9.794.

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10

Hirota, Kaoru. "Fuzzy control and its industrial applications." JAPAN TAPPI JOURNAL 44, no. 2 (1990): 208–14. http://dx.doi.org/10.2524/jtappij.44.208.

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11

Richalet, J., and J. Papon. "Industrial Applications of Internal Model Control." IFAC Proceedings Volumes 18, no. 11 (1985): 61–67. http://dx.doi.org/10.1016/s1474-6670(17)60111-3.

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12

Liu, Guo-ping. "Industrial applications of advanced control techniques." Journal of Central South University of Technology 10, no. 3 (2003): 265–71. http://dx.doi.org/10.1007/s11771-003-0021-y.

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13

Burnham, K. J., and D. J. G. James. "Industrial Applications of Self-tuning Control." IFAC Proceedings Volumes 23, no. 8 (1990): 329–34. http://dx.doi.org/10.1016/s1474-6670(17)51845-5.

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14

Shi, Yang, Jiahu Qin, and Hyo-Sung Ahn. "Distributed Coordination Control and Industrial Applications." IEEE Transactions on Industrial Electronics 64, no. 6 (2017): 4967–71. http://dx.doi.org/10.1109/tie.2017.2665318.

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15

Rake, H. "Industrial control electronics: Applications and design." Automatica 27, no. 2 (1991): 429. http://dx.doi.org/10.1016/0005-1098(91)90098-m.

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16

MurgaŜ, J., T. MurgaŜ, P. Fodrek, E. FarkaŜ, M. Blaho, and M. Poliaĉik. "A Networked Control System for Industrial Applications." IFAC Proceedings Volumes 42, no. 1 (2009): 232–35. http://dx.doi.org/10.3182/20090210-3-cz-4002.00047.

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17

Stattelmann, Stefan, Manuel Oriol, and Thomas Gamer. "Execution Time Analysis for Industrial Control Applications." Electronic Proceedings in Theoretical Computer Science 147 (April 2, 2014): 16–31. http://dx.doi.org/10.4204/eptcs.147.2.

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18

Edgeman, Rick L. "Multivariate Statistical Process Control with Industrial Applications." Technometrics 46, no. 4 (2004): 484–85. http://dx.doi.org/10.1198/tech.2004.s224.

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19

Anene, Ejike C. "Differential Flatness Applications to Industrial Machine Control." Automation, Control and Intelligent Systems 2, no. 4 (2014): 42. http://dx.doi.org/10.11648/j.acis.20140204.11.

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20

Champ, Charles W. "Multivariate Statistical Process Control with Industrial Applications." Journal of Quality Technology 36, no. 1 (2004): 126. http://dx.doi.org/10.1080/00224065.2004.11980257.

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21

Dutton, Ken. "Book Review: Multivariable Control for Industrial Applications." International Journal of Electrical Engineering & Education 25, no. 3 (1988): 268. http://dx.doi.org/10.1177/002072098802500318.

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22

Richalet, J. "Industrial applications of model based predictive control." Automatica 29, no. 5 (1993): 1251–74. http://dx.doi.org/10.1016/0005-1098(93)90049-y.

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23

Hoxha, Valmir, Ines Bula, Muzafer Shala, and Edmond Hajrizi. "Cost-Oriented Open Source Automation Potential Application in Industrial Control Applications." IFAC-PapersOnLine 49, no. 29 (2016): 212–14. http://dx.doi.org/10.1016/j.ifacol.2016.11.105.

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24

Zhou, Sen Xin, Jiang Hong Han, and Hao Tang. "Trust Measurement Model for Industrial Control Ethernet Network." Advanced Materials Research 268-270 (July 2011): 1568–73. http://dx.doi.org/10.4028/www.scientific.net/amr.268-270.1568.

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The application of fieldbus has been limited due to the high cost of hardware and the difficulty in interfacing with multivendor products. In order to solve these problems, the computer network technology, especially Ethernet, is being adopted by the industrial automation field. The key technical obstacle for Ethernet for industrial applications is that its nondeterministic behavior makes it inadequate for real-time applications, where the frames containing real-time information, such as control command and alarm signal, have to be delivered within a certain time limit. Recently, the developme

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25

Nishijima, S. "Magnetic Force Control Technology and its Industrial Applications." Journal of the Magnetics Society of Japan 37, no. 5 (2013): 333–37. http://dx.doi.org/10.3379/msjmag.1308r002.

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26

Ludensky, Michael. "Control and monitoring of biofilms in industrial applications." International Biodeterioration & Biodegradation 51, no. 4 (2003): 255–63. http://dx.doi.org/10.1016/s0964-8305(03)00038-6.

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27

Reininger, T., F. Welker, and M. von Zeppelin. "Sensors in position control applications for industrial automation." Sensors and Actuators A: Physical 129, no. 1-2 (2006): 270–74. http://dx.doi.org/10.1016/j.sna.2005.09.056.

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28

Bose, Bimal K. "Fuzzy control of industrial systems — theory and applications." Automatica 37, no. 6 (2001): 958–59. http://dx.doi.org/10.1016/s0005-1098(01)00041-3.

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29

Hästbacka, David, Timo Vepsäläinen, and Seppo Kuikka. "Model-driven development of industrial process control applications." Journal of Systems and Software 84, no. 7 (2011): 1100–1113. http://dx.doi.org/10.1016/j.jss.2011.01.063.

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30

Goldschmidt, Thomas, Stefan Hauck-Stattelmann, Somayeh Malakuti, and Sten Grüner. "Container-based architecture for flexible industrial control applications." Journal of Systems Architecture 84 (March 2018): 28–36. http://dx.doi.org/10.1016/j.sysarc.2018.03.002.

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31

Jianbin Qiu, Huijun Gao, and Mo-Yuen Chow. "Networked control and industrial applications [Special section introduction]." IEEE Transactions on Industrial Electronics 63, no. 2 (2016): 1203–6. http://dx.doi.org/10.1109/tie.2015.2506544.

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32

Fujimoto, Yasutaka, Toshiyuki Murakami, and Roberto Oboe. "Advanced Motion Control for Next-Generation Industrial Applications." IEEE Transactions on Industrial Electronics 63, no. 3 (2016): 1886–88. http://dx.doi.org/10.1109/tie.2016.2515992.

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33

Short, Michael, and A. Arockia Selvakumar. "Non-Linear Tank Level Control for Industrial Applications." Applied Mathematics 11, no. 09 (2020): 876–89. http://dx.doi.org/10.4236/am.2020.119057.

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34

Grimble, Mike J. "Advanced control for applications: Engineering and industrial systems." Advanced Control for Applications: Engineering and Industrial Systems 1, no. 1 (2019): e9. http://dx.doi.org/10.1002/adc2.9.

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35

Newbury, J. E., and K. J. Morris. "Power line carrier systems for industrial control applications." IEEE Transactions on Power Delivery 14, no. 4 (1999): 1191–96. http://dx.doi.org/10.1109/61.796205.

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36

Cole, Jerome D., and Kenneth B. Yount. "Applications of dynamic simulation to industrial control problems." ISA Transactions 33, no. 1 (1994): 11–18. http://dx.doi.org/10.1016/0019-0578(94)90031-0.

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37

Precup, Radu-Emil, and Hans Hellendoorn. "A survey on industrial applications of fuzzy control." Computers in Industry 62, no. 3 (2011): 213–26. http://dx.doi.org/10.1016/j.compind.2010.10.001.

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38

Burnham, K. J., K. J. Disdell, D. J. G. James, and C. A. Smith. "Developments in industrial applications of self-tuning control." Control Engineering Practice 3, no. 9 (1995): 1265–76. http://dx.doi.org/10.1016/0967-0661(95)00125-e.

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39

Ciora, Radu Adrian, and Carmen Mihaela Simion. "Industrial Applications of Image Processing." ACTA Universitatis Cibiniensis 64, no. 1 (2014): 17–21. http://dx.doi.org/10.2478/aucts-2014-0004.

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Abstract The recent advances in sensors quality and processing power provide us with excellent tools for designing more complex image processing and pattern recognition tasks. In this paper we review the existing applications of image processing and pattern recognition in industrial engineering. First we define the role of vision in an industrial. Then a dissemination of some image processing techniques, feature extraction, object recognition and industrial robotic guidance is presented. Moreover, examples of implementations of such techniques in industry are presented. Such implementations in

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40

Grimble, M. J., M. A. Johnson, C. L. Brasca, and V. Arcidiacono. "Self-tuning control and industrial applications: the limited authority control concept." International Journal of Adaptive Control and Signal Processing 13, no. 6 (1999): 521–36. http://dx.doi.org/10.1002/(sici)1099-1115(199908)13:6<521::aid-acs558>3.0.co;2-3.

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41

Tang, Sui Xin. "Intelligent Control Technology and its Industrial Application Inquiry." Advanced Materials Research 1079-1080 (December 2014): 1280–82. http://dx.doi.org/10.4028/www.scientific.net/amr.1079-1080.1280.

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With the rapid development of computer science and technology, each industry uses this technology to achieve the Intelligent control of the corporate production process. Intelligent control technology applications in the industrial field are more general, but also have made remarkable achievements. This article introduces the development and current situation of intelligent control, and analyzes the current system architecture model of intelligent control technology. After a comprehensive understanding of intelligent control technology, also describes its application in industry.

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42

Rozvany, G. "Special issue on industrial applications." Structural and Multidisciplinary Optimization 33, no. 6 (2007): 439. http://dx.doi.org/10.1007/s00158-007-0115-5.

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43

Rodrigues, Eduardo M. G., Radu Godina, and Edris Pouresmaeil. "Industrial Applications of Power Electronics." Electronics 9, no. 9 (2020): 1534. http://dx.doi.org/10.3390/electronics9091534.

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Electronic applications use a wide variety of materials, knowledge, and devices, which pave the road to creative design, development, and the creation of countless electronic circuits with the purpose of incorporating them in electronic products. Therefore, power electronics have been fully introduced in industry, in applications such as power supplies, converters, inverters, battery chargers, temperature control, variable speed motors, by studying the effects and the adaptation of electronic power systems to industrial processes. Recently, the role of power electronics has been gaining specia

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44

Strasser, Thomas, Martijn Rooker, Gerhard Ebenhofer, and Alois Zoitl. "Standardized Dynamic Reconfiguration of Control Applications in Industrial Systems." International Journal of Applied Industrial Engineering 2, no. 1 (2014): 57–73. http://dx.doi.org/10.4018/ijaie.2014010104.

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Industrial areas like manufacturing, logistics and power systems require highly flexible and adaptable control solutions in order to fulfill future requirements. An industrial automation system has to provide technologies, concepts and mechanisms allowing the adaption of control logic during operation. Proper engineering approaches as well as execution environments with dynamic reconfiguration capabilities are needed to turn this vision into reality. This article provides an overview of applying the IEC 61499 reference model for distributed automation as basis for a standard-compliant reconfig

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45

Piggin, Richard, and David Brandt. "Wireless ethernet for industrial applications." Assembly Automation 26, no. 3 (2006): 205–15. http://dx.doi.org/10.1108/01445150610679740.

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46

Henderson, G. Robin. "EWMA and industrial applications to feedback adjustment and control." Journal of Applied Statistics 28, no. 3-4 (2001): 399–407. http://dx.doi.org/10.1080/02664760120034135.

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47

Kim, Tai-hoon, Ruay-Shiung Chang, Carlos Ramos, and Sabah Mohammed. "Advanced Sensor Technology and Applications in Industrial Control System." International Journal of Distributed Sensor Networks 9, no. 11 (2013): 516412. http://dx.doi.org/10.1155/2013/516412.

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48

Hansen, Colin H. "Current and future industrial applications of active noise control." Noise Control Engineering Journal 53, no. 5 (2005): 181. http://dx.doi.org/10.3397/1.2839255.

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49

A. Karthika, R., Shaik Rahamtula, and Yalavarthi Anusha. "Internet of things for industrial monitoring and control applications." International Journal of Engineering & Technology 7, no. 2.21 (2018): 280. http://dx.doi.org/10.14419/ijet.v7i2.21.12381.

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Smart enterprise is an observing, controlling and investigating carrier which incorporates wireless transmission generation and electronic sensor innovation. It permits the client to get the overall scope of services, the opportunity for continuous monitoring and automated controlling of industrial environment. This paper was advanced to provide internet based totally smoke and temperature and security tracking. This device is allowed to track the facts every time & everywhere from the source of the internet whenever we login into internet. This paper also concludes that person can set res

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50

Hryha, E., L. Nyborg, A. Malas, S. Wiberg, and S. Berg. "Carbon control in PM sintering: industrial applications and experience." Powder Metallurgy 56, no. 1 (2013): 5–10. http://dx.doi.org/10.1179/0032589912z.00000000085.

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