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Journal articles on the topic 'Improved control'

Author: Grafiati

Published: 4 June 2021

Last updated: 9 February 2022

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1

Mazheyka, Olexsandr. "Improved quality control of welded joints." Collected Works of Kirovohrad National Technical University. Machinery in Agricultural Production, Industry Machine Building, Automation, no. 31 (2018): 90–95. http://dx.doi.org/10.32515/2409-9392.2018.31.90-95.

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2

&NA;. "Improved maternal glycaemic control improves pregnancy outcome." Inpharma Weekly &NA;, no. 756 (1990): 9–10. http://dx.doi.org/10.2165/00128413-199007560-00027.

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3

A. F., Isakov, Nasirova Sh.N., and Artikov A.A. "Improved Process Control System Of Flotation Of Potash Ores." American Journal of Applied Sciences 02, no. 08 (2020): 132–35. http://dx.doi.org/10.37547/tajas/volume02issue08-19.

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4

Chobanian, Aram V. "Improved Hypertension Control." JAMA 303, no. 20 (2010): 2082. http://dx.doi.org/10.1001/jama.2010.692.

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5

Lovell, D. J., S. R. Parker, N. D. Paveley, and A. J. Worland. "Understanding field resistance mechanisms for improved control of Septoria tritici." Plant Protection Science 38, SI 1 - 6th Conf EFPP 2002 (2002): 165–69. http://dx.doi.org/10.17221/10346-pps.

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Field resistance can contribute to reductions in epidemic progress of Septoria tritici in winter wheat. Crop growth and<br />canopy architecture are identified as key mechanisms of field resistance. Near isogenic lines differing for dwarfing (Rht)<br />and photoperiod sensitivity (Ppd) genes, enabled the study of target traits in a constant background of genetic resistance.<br />Epidemics were consistently earlier in shorter crops across a range of environments. The mechanism for this effect was<br />identified as an increase in spore arrival due to a reduction in the required dispersal distance between infective tissue<br />and emerging upper culm leaves.

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6

Hizal, N. A. "Improved adaptive model control." ARI - An International Journal for Physical and Engineering Sciences 51, no. 3 (1999): 181–90. http://dx.doi.org/10.1007/s007770050052.

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7

Y.P., Patil. "Discrete Adaptive Model Following Sliding Mode Control Design for Improved Performance." Journal of Advanced Research in Dynamical and Control Systems 12, SP3 (2020): 557–69. http://dx.doi.org/10.5373/jardcs/v12sp3/20201293.

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8

Carlson, Robert H. "Improved Biochemical Control Does Not Equal Improved Survival." Oncology Times 38, no. 10 (2016): 24. http://dx.doi.org/10.1097/01.cot.0000484154.44548.30.

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9

Wang, Wei Ping, and Li Zhou. "Research on Intelligent Control Technology with Building Energy Control Model Based on Intelligent Control Algorithm." Advanced Materials Research 1014 (July 2014): 329–32. http://dx.doi.org/10.4028/www.scientific.net/amr.1014.329.

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For the current smart building energy control algorithms are still large energy loss, poor energy-saving effect and other issues, this paper presents a fuzzy neural network algorithm based on improved BP algorithm, the improved algorithm of BP neural network algorithm first reverse dissemination and weighting coefficients are adjusted to accelerate the convergence rate of the original algorithm, and then build the improved BP neural network algorithm for fuzzy neural network, and then to improve it fuzzy membership function parameters to improve the efficiency of fuzzy neural network learning. Simulation results show that the proposed fuzzy neural network algorithm based on improved BP algorithm in the intelligent building energy control, with the algorithm is better than traditional BP neural network energy savings, reducing the energy loss rate.

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10

Zhao, Y. B., D. Rees, and G. P. Liu. "Improved predictive control approach to networked control systems." IET Control Theory & Applications 2, no. 8 (2008): 675–81. http://dx.doi.org/10.1049/iet-cta:20070363.

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11

Ji, Hyeon-Kyun, Hyeong-Jun Yoo, Thai-Thanh Nguyen, and Hak-Man Kim. "Applying Improved Droop Control to Hybrid Microgrid Control." International Journal of Control and Automation 8, no. 7 (2015): 395–404. http://dx.doi.org/10.14257/ijca.2015.8.7.38.

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12

MOON, MARY ANN. "Education Modestly Improved Glucose Control." Family Practice News 41, no. 20 (2011): 51. http://dx.doi.org/10.1016/s0300-7073(11)71039-8.

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13

ZOLER, MITCHEL L. "Canagliflozin Improved Glycemic Control, BP." Family Practice News 42, no. 17 (2012): 12–13. http://dx.doi.org/10.1016/s0300-7073(12)70706-5.

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14

Kwong, Wu Hong. "Improved Simplified Model Predictive Control." IFAC Proceedings Volumes 33, no. 10 (2000): 323–28. http://dx.doi.org/10.1016/s1474-6670(17)38560-9.

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15

Weule, H., and Mr Eversheim. "Improved Honing Through Process-Control." CIRP Annals 37, no. 1 (1988): 339–42. http://dx.doi.org/10.1016/s0007-8506(07)61649-7.

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16

MOON, MARY ANN. "Barbershop Intervention Improved Hypertension Control." Family Practice News 40, no. 19 (2010): 29. http://dx.doi.org/10.1016/s0300-7073(10)71184-1.

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17

ZOLER, MITCHEL L. "Canagliflozin Improved Glycemic Control, BP." Internal Medicine News 45, no. 17 (2012): 9. http://dx.doi.org/10.1016/s1097-8690(12)70737-0.

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18

Bristol, E. H. "Improved process control alarm operation." ISA Transactions 40, no. 2 (2001): 191–205. http://dx.doi.org/10.1016/s0019-0578(00)00004-5.

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19

Schindel, Leon H., and Lisa Lam. "Improved missile control effectiveness payoffs." Journal of Spacecraft and Rockets 33, no. 5 (1996): 647–50. http://dx.doi.org/10.2514/3.26815.

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20

Tyrrell, H. E. J., and T. Pwint. "Sunitinib and improved diabetes control." Case Reports 2014, dec24 1 (2014): bcr2014207521. http://dx.doi.org/10.1136/bcr-2014-207521.

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21

Laney, David B. "Improved Control Charts for Attributes." Quality Engineering 14, no. 4 (2002): 531–37. http://dx.doi.org/10.1081/qen-120003555.

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22

Primatesta, Paola, Marion Brookes, and Neil R. Poulter. "Improved Hypertension Management and Control." Hypertension 38, no. 4 (2001): 827–32. http://dx.doi.org/10.1161/hyp.38.4.827.

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23

Kellinghusen, Georg, and Klaus Wübbenhorst. "Strategic control for improved performance." Long Range Planning 23, no. 3 (1990): 30–40. http://dx.doi.org/10.1016/0024-6301(90)90050-e.

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24

Liu, Zheng Gang, Hong Wei Ding, Xiao Hui Ma, Qian Lin Liu, and Jia Long Xiong. "FPGA-Based Dual-Probabilities CSMA/CA Control System Design." Applied Mechanics and Materials 556-562 (May 2014): 2297–300. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.2297.

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This paper presents a protocol to improve traditional CSMA protocol: DP-CSMA/CA protocol. In this paper, it is used in the design of WSN communication system based on FPGA. By using the method of the averaging period, we give the throughput parameters of this improved system. Simulation results confirmed that the DP-CSMA/CA protocol improves the system performance. The FPGA design is also effective to improve the performance of module in WSN. We completed the design of system based on DP-CSMA with FPGA. The test results show that: throughput are improved, packet collision is reduced, and channel utilization is improved in different load. This system has the features of simple circuit, high reliability, and programmable upgraded.

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25

Shi, Zhaoyao, Pan Zhang, Jiachun Lin, and Hongyu Ding. "Permanent Magnet Synchronous Motor Speed Control Based on Improved Active Disturbance Rejection Control." Actuators 10, no. 7 (2021): 147. http://dx.doi.org/10.3390/act10070147.

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An improved active disturbance rejection control (I-ADRC) to improve the disturbance attenuation of a permanent magnet synchronous motor speed controller was proposed in this paper. A nonlinear function with improved smoothness was adopted to design the controller. The Lyapunov stability of the improved tracking differentiator, the improved extended state observer, and the controller were analysed. Moreover, simulations and experiments confirmed the effectiveness of the proposed controller. The results demonstrate that the proposed controller has a smaller steady-state error and a stronger disturbance attenuation ability than the proportional integral derivative (PID) controller.

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26

Layton, J. B., and L. D. Peterson. "Improved integrated structural control design using covariance control parameterization." AIAA Journal 33, no. 8 (1995): 1492–95. http://dx.doi.org/10.2514/3.12572.

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27

Nabati, Ehsan Gholamzadeh, and Sebastian Engell. "An Improved Adaptive Control Algorithm Based Upon Unfalsified Control." IFAC Proceedings Volumes 43, no. 10 (2010): 174–79. http://dx.doi.org/10.3182/20100826-3-tr-4015.00034.

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28

Bernstein, D. "Control constraints, abnormality, and improved performance by periodic control." IEEE Transactions on Automatic Control 30, no. 4 (1985): 367–76. http://dx.doi.org/10.1109/tac.1985.1103948.

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29

Chen, Wei. "Improved Distributed Model Predictive Control with Control Planning Set." Journal of Control Science and Engineering 2016 (2016): 1–14. http://dx.doi.org/10.1155/2016/8167931.

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We focus on distributed model predictive control algorithm. Each distributed model predictive controller communicates with the others in order to compute the control sequence. But there are not enough communication resources to exchange information between the subsystems because of the limited communication network. This paper presents an improved distributed model predictive control scheme with control planning set. Control planning set algorithm approximates the future control sequences by designed planning set, which can reduce the exchange information among the controllers and can also decrease the distributed MPC controller calculation demand without degrading the whole system performance much. The stability and system performance analysis for distributed model predictive control are given. Simulations of the four-tank control problem and multirobot multitarget tracking problem are illustrated to verify the effectiveness of the proposed control algorithm.

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30

Deng wenllian. "An Improved Fuzzy Predictive Control Algorithm." International Journal of Digital Content Technology and its Applications 7, no. 2 (2013): 297–304. http://dx.doi.org/10.4156/jdcta.vol7.issue2.35.

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31

Griffin, Kenneth E., and Mark A. Hopkins. "Smart Stiffness for Improved Roll Control." Journal of Aircraft 34, no. 3 (1997): 445–47. http://dx.doi.org/10.2514/2.2191.

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32

Salton, Aurélio T., Zhiyong Chen, and Minyue Fu. "Improved Servomechanism Control Design – Nonswitching Case." IFAC Proceedings Volumes 44, no. 1 (2011): 8614–19. http://dx.doi.org/10.3182/20110828-6-it-1002.00453.

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33

&NA;. "Worldwide TB control must be improved." Inpharma Weekly &NA;, no. 1103 (1997): 3. http://dx.doi.org/10.2165/00128413-199711030-00004.

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34

Pons, M. N., N. Roche, J. L. Cécile, O. Potier, P. Nieddu, and C. Prost. "Fault Detection For Improved WWTPS Control." IFAC Proceedings Volumes 32, no. 2 (1999): 7578–83. http://dx.doi.org/10.1016/s1474-6670(17)57294-8.

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35

Hoffner, Sven E., and Jerker Jonsson. "The need for improved tuberculosis control." Lancet Infectious Diseases 13, no. 9 (2013): 731–32. http://dx.doi.org/10.1016/s1473-3099(13)70150-6.

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36

Rescigno, Giuseppe, and Giannantonio Carnelos. "Improved pain control after cardiac surgery." Journal of Thoracic and Cardiovascular Surgery 128, no. 1 (2004): 154–55. http://dx.doi.org/10.1016/j.jtcvs.2004.02.028.

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37

WALSH, NANCY. "Combination Treatment Improved Control in COPD." Internal Medicine News 41, no. 19 (2008): 26. http://dx.doi.org/10.1016/s1097-8690(08)71092-8.

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38

Hong-bin, JIN, and LAN Jiang-qiao. "An Improved Focal Element Control Rule." Procedia Engineering 15 (2011): 13–17. http://dx.doi.org/10.1016/j.proeng.2011.08.004.

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39

Nader, Michael, Dietmar Reindl, Reinhard Eichinger, Mohsen Beheshti, and Werner Langsteger. "Improved quality control of [18F]fluoromethylcholine." Nuclear Medicine and Biology 38, no. 8 (2011): 1143–48. http://dx.doi.org/10.1016/j.nucmedbio.2011.05.006.

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40

Tellier, M. E., G. D. Riley, and T. L. Freeman. "Improved performance control on the Grid." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 367, no. 1897 (2009): 2533–43. http://dx.doi.org/10.1098/rsta.2009.0029.

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In the 2005 paper by Mayes et al ., a threshold-based performance control system (PerCo) was described and an initial experimental evaluation was presented. The objective of the current paper is to investigate the role of the threshold value in PerCo and to place the threshold-based rescheduling heuristic on a more principled footing. Simulation enables us to identify the ‘optimal’ threshold value for a particular application scenario, and we show that this optimal value results in a 10 per cent improvement in performance for the application considered by Mayes et al . Furthermore, we find that the execution time of this optimal threshold-based schedule is very close (within 0.5%) to the execution time that results from a linear programming optimal schedule.

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41

Preston, F. E., M. Greaves, A. J. M. Boulton, and J. D. Ward. "IMPROVED DIABETIC CONTROL AND PLATELET REACTIVITY." Lancet 325, no. 8439 (1985): 1225–26. http://dx.doi.org/10.1016/s0140-6736(85)92918-6.

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42

Rao, M. P. R. V., and Trevor J. Leckie. "Robust Adaptive Control: Improved e - Modification." IFAC Proceedings Volumes 31, no. 22 (1998): 127–32. http://dx.doi.org/10.1016/s1474-6670(17)35932-3.

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43

CHANNER, K. S., M. PAPOUCHADO, M. A. JAMES, D. W. PITCHER, and J. RUSSELL REES. "Towards improved control of atrial fibrillation." European Heart Journal 8, no. 2 (1987): 141–47. http://dx.doi.org/10.1093/oxfordjournals.eurheartj.a062241.

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44

Yuan, Qiaolin, and Barry Lennox. "IMPROVED MODEL PREDICTIVE CONTROL USING PCA." IFAC Proceedings Volumes 39, no. 13 (2006): 103–8. http://dx.doi.org/10.3182/20060829-4-cn-2909.00016.

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45

Hu, Yalong, and Wei Wei. "Improved Droop Control with Washout Filter." Energies 11, no. 9 (2018): 2415. http://dx.doi.org/10.3390/en11092415.

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In this paper, a droop washout filter controller (DWC), composed of a conventional droop controller and a washout filter controller, is proposed. The droop controller is used to ensure the “plug-and-play” capability, and the droop gain is set small. The washout filter is introduced to compensate the active power dynamic performance (APDP). Compared to the droop controller, the DWC can achieve accurate active power sharing and smaller frequency difference without losing the APDP. Additionally, a novel modeling technology is proposed, using which a small-signal model for an island microgrid (MG) is constructed as a singular system. The system’s stability is analyzed and the DWC is verified using real-time (RT-LAB) simulation with hardware in the loop (HIL).

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46

Seraji, H., and R. Colbaugh. "Improved configuration control for redundant robots." Journal of Robotic Systems 7, no. 6 (1990): 897–928. http://dx.doi.org/10.1002/rob.4620070607.

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47

Gray, Helen. "Toward Improved Glycemic Control in Diabetes." Archives of Internal Medicine 155, no. 11 (1995): 1137. http://dx.doi.org/10.1001/archinte.1995.00430110034005.

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48

Piazzi, Aurelio, and Antonio Visioli. "IMPROVED PI CONTROL VIA DYNAMIC INVERSION." IFAC Proceedings Volumes 35, no. 1 (2002): 301–6. http://dx.doi.org/10.3182/20020721-6-es-1901.00131.

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49

Porteus, Evan L., and Alexandar Angelus. "Opportunities for Improved Statistical Process Control." Management Science 43, no. 9 (1997): 1214–28. http://dx.doi.org/10.1287/mnsc.43.9.1214.

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50

Lin, C. C., and F. C. Chen. "Improved CMAC neural network control scheme." Electronics Letters 35, no. 2 (1999): 157. http://dx.doi.org/10.1049/el:19990083.

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