860 XXXI International Mineral Processing Congress 2024 Proceedings/Washington, DC/Sep 29–Oct 3
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industrial model predictive control technology. Control
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Radha Krishna, T.Y., &Biswal, K. (2016). Speed Control
of Separately Excited DC Motor using Fuzzy Logic
Controller. Bachelor’s thesis, Electrical Engineering.
(unpublished). Speed Control of Separately Excited DC
Motor using Fuzzy Logic Controller. Bachelor’s thesis,
Electrical Engineering. (unpublished). Rourkela, Odisha.
Raffin, A., Hill, A., Gleave, A., Kanervisto, A., Ernestus,
M., &Dormann, N. (2021). Stable-Baselines3:
Reliable Reinforcement Learning Implementations.
Journal of Machine Learning Research. Retrieved
from https://www.semanticscholar.org/paper
/e3fc5b5627af62ee6981a02090cf6bae368202d7.
Rawlings, J.B., &Mayne, D.Q. (2009). Model predictive
control theory and design. Nob Hill Pub.
Rosenblatt, F. (1958). Two Theorems of Statistical
Separability in the Perceptron: (Project Para) Contract
Nonr-2381(00). Two Theorems of Statistical Separability
in the Perceptron: (Project Para) Contract Nonr-2381(00).
Shafto, M., Conroy, M., Doyle, R., Glaessgen, E., Kemp, C.,
Lemoigne, J., &Wang, L. (2010, November). Modeling,
Simulation, Information Technology &Processing
Roadmap -Technology Area 11. Tech. rep., National
Aeronautics and Space Administration. Retrieved
from https://www.nasa.gov/pdf/501321main_TA11
-MSITP-DRAFT-Nov2010-A1.pdf.
Silver, D., Schrittwieser, J., Simonyan, K., Antonoglou, I.,
Huang, A., Guez, A., ...Hassabis, D. (2017, October).
Mastering the game of Go without human knowledge.
Nature, 550, 354–359. doi:10.1038/nature24270.
Sutton, R.S., &Barto, A.G. (2018). Reinforcement Learning
An Introduction. A Bradford Book.
Taye, M.M. (2023, April). Understanding of Machine
Learning with Deep Learning: Architectures, Workflow,
Applications and Future Directions. Computers, 12,
91. doi:10.3390/computers12050091.
Towers, M., Terry, J.K., Kwiatkowski, A., Balis, J.U., De
Cola, G., Deleu, T.,…Younis, O.G. (2023, July).
Gymnasium. Gymnasium. Zenodo. doi:10.5281
/ZENODO.8127026.
Wei, D., &Craig, I.K. (2009a, August). Economic per-
formance assessment of two ROM ore milling cir-
cuit controllers. Minerals Engineering, 22, 826–839.
doi:10.1016/j.mineng.2009.02.013.
Zadeh, L.A. (1973). Outline of a New Approach to the
Analysis of Complex Systems and Decision Processes.
IEEE Transactions on Systems, Man, and Cybernetics,
SMC-3, 28–44. doi:10.1109/tsmc.1973.5408575
Qin, S.J., &Badgwell, T.A. (2003, July). A survey of
industrial model predictive control technology. Control
Engineering Practice, 11, 733–764. doi:10.1016
/s0967-0661(02)00186-7.
Radha Krishna, T.Y., &Biswal, K. (2016). Speed Control
of Separately Excited DC Motor using Fuzzy Logic
Controller. Bachelor’s thesis, Electrical Engineering.
(unpublished). Speed Control of Separately Excited DC
Motor using Fuzzy Logic Controller. Bachelor’s thesis,
Electrical Engineering. (unpublished). Rourkela, Odisha.
Raffin, A., Hill, A., Gleave, A., Kanervisto, A., Ernestus,
M., &Dormann, N. (2021). Stable-Baselines3:
Reliable Reinforcement Learning Implementations.
Journal of Machine Learning Research. Retrieved
from https://www.semanticscholar.org/paper
/e3fc5b5627af62ee6981a02090cf6bae368202d7.
Rawlings, J.B., &Mayne, D.Q. (2009). Model predictive
control theory and design. Nob Hill Pub.
Rosenblatt, F. (1958). Two Theorems of Statistical
Separability in the Perceptron: (Project Para) Contract
Nonr-2381(00). Two Theorems of Statistical Separability
in the Perceptron: (Project Para) Contract Nonr-2381(00).
Shafto, M., Conroy, M., Doyle, R., Glaessgen, E., Kemp, C.,
Lemoigne, J., &Wang, L. (2010, November). Modeling,
Simulation, Information Technology &Processing
Roadmap -Technology Area 11. Tech. rep., National
Aeronautics and Space Administration. Retrieved
from https://www.nasa.gov/pdf/501321main_TA11
-MSITP-DRAFT-Nov2010-A1.pdf.
Silver, D., Schrittwieser, J., Simonyan, K., Antonoglou, I.,
Huang, A., Guez, A., ...Hassabis, D. (2017, October).
Mastering the game of Go without human knowledge.
Nature, 550, 354–359. doi:10.1038/nature24270.
Sutton, R.S., &Barto, A.G. (2018). Reinforcement Learning
An Introduction. A Bradford Book.
Taye, M.M. (2023, April). Understanding of Machine
Learning with Deep Learning: Architectures, Workflow,
Applications and Future Directions. Computers, 12,
91. doi:10.3390/computers12050091.
Towers, M., Terry, J.K., Kwiatkowski, A., Balis, J.U., De
Cola, G., Deleu, T.,…Younis, O.G. (2023, July).
Gymnasium. Gymnasium. Zenodo. doi:10.5281
/ZENODO.8127026.
Wei, D., &Craig, I.K. (2009a, August). Economic per-
formance assessment of two ROM ore milling cir-
cuit controllers. Minerals Engineering, 22, 826–839.
doi:10.1016/j.mineng.2009.02.013.
Zadeh, L.A. (1973). Outline of a New Approach to the
Analysis of Complex Systems and Decision Processes.
IEEE Transactions on Systems, Man, and Cybernetics,
SMC-3, 28–44. doi:10.1109/tsmc.1973.5408575