Relevant bibliographies by topics / Online process control

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  1. Journal articles

Academic literature on the topic 'Online process control'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Online process control"

1

Govindhasamy, James J., Seán F. McLoone, George W. Irwin, John J. French, and Richard P. Doyle. "Reinforcement Learning for Online Industrial Process Control." Journal of Advanced Computational Intelligence and Intelligent Informatics 9, no. 1 (2005): 23–30. http://dx.doi.org/10.20965/jaciii.2005.p0023.

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Reinforcement learning, in the form of Adaptive Critic Designs (ACDs), have the ability to analyse or evaluate a situation and respond to it accordingly. They offer an excellent alternative for adaptively controlling and optimising the highly nonlinear processes found in industry. Here, an enhanced implementation of the action dependent adaptive critic design (ADAC) of Si and Wang [9] is investigated for modelling and control of an industrial grinding process used in the manufacture of hard disk drive platters. This study, one of the first reported industrial applications of this emerging technology, shows that the proposed ADAC control scheme can achieve a 33% reduction in platter rejects compared to an existing proprietary controller.
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2

Kalúz, Martin, L'uboš Čirka, and Miroslav Fikar. "Advances in Online Courses on Process Control." IFAC Proceedings Volumes 45, no. 11 (2012): 235–40. http://dx.doi.org/10.3182/20120619-3-ru-2024.00029.

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3

Parlos, A. G., Sanjay Parthasarathy, and A. F. Atiya. "Neuro-predictive process control using online controller adaptation." IEEE Transactions on Control Systems Technology 9, no. 5 (2001): 741–55. http://dx.doi.org/10.1109/87.944469.

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4

Johnston, Stephen P., David O. Kazmer, and Robert X. Gao. "Online simulation-based process control for injection molding." Polymer Engineering & Science 49, no. 12 (2009): 2482–91. http://dx.doi.org/10.1002/pen.21481.

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5

Cheng, Yuan, and Mohsen A. Jafari. "Vision-Based Online Process Control in Manufacturing Applications." IEEE Transactions on Automation Science and Engineering 5, no. 1 (2008): 140–53. http://dx.doi.org/10.1109/tase.2007.912058.

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6

Na, Wenbo, Quanmin Zhu, Zhiwei Su, and Qingfeng Jiang. "Optimisation control and online monitoring for cleaning process." International Journal of Modelling, Identification and Control 23, no. 2 (2015): 173. http://dx.doi.org/10.1504/ijmic.2015.068876.

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7

Sunusi, Idris Idris, Jun Zhou, Zhen Zhen Wang, et al. "Intelligent tractors: Review of online traction control process." Computers and Electronics in Agriculture 170 (March 2020): 105176. http://dx.doi.org/10.1016/j.compag.2019.105176.

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8

Amrit, Rishi, James B. Rawlings, and Lorenz T. Biegler. "Optimizing process economics online using model predictive control." Computers & Chemical Engineering 58 (November 2013): 334–43. http://dx.doi.org/10.1016/j.compchemeng.2013.07.015.

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9

Michaeli, Walter, and Andreas Schreiber. "Online control of the injection molding process based on process variables." Advances in Polymer Technology 28, no. 2 (2009): 65–76. http://dx.doi.org/10.1002/adv.20153.

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10

Won, Wangyun, Kwang Soon Lee, Seokho Lee, and Chansul Jung. "Repetitive Control and Online Optimization of Catofin Propane Process." IFAC Proceedings Volumes 42, no. 11 (2009): 273–78. http://dx.doi.org/10.3182/20090712-4-tr-2008.00042.

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