Zobrazeno 1 - 10
of 830
pro vyhledávání: '"Kwon, Joseph"'
Autor:
Sitapure, Niranjan, Kwon, Joseph S
Most existing digital twins rely on data-driven black-box models, predominantly using deep neural recurrent, and convolutional neural networks (DNNs, RNNs, and CNNs) to capture the dynamics of chemical systems. However, these models have not seen the
Externí odkaz:
http://arxiv.org/abs/2308.05749
Autor:
Sitapure, Niranjan, Kwon, Joseph S
Over the past three decades, numerous controllers have been developed to regulate complex chemical processes, but they have certain limitations. Traditional PI/PID controllers often require customized tuning for various set-point scenarios. On the ot
Externí odkaz:
http://arxiv.org/abs/2306.07510
Autor:
Sitapure, Niranjan, Kwon, Joseph S.
For prediction and real-time control tasks, machine-learning (ML)-based digital twins are frequently employed. However, while these models are typically accurate, they are custom-designed for individual systems, making system-to-system (S2S) transfer
Externí odkaz:
http://arxiv.org/abs/2306.03099
Autor:
Park, Jung Hyun, Lee, Chi Ho, Yu, Siying, Kharel, Priti, Choi, Roady, Zhang, Cheng, Huang, Pinshane Y., Kwon, Joseph Sang-Il, Yang, Hong
Publikováno v:
In Nano Energy September 2024 128 Part B
Autor:
Bhavsar, Raj Panthesh, Bhadriraju, Bhavana, Lee, Gahyun Annie, Nagpal, Satchit, Park, Ah-Hyung Alissa, Kwon, Joseph Sang-Il
Publikováno v:
In Chemical Engineering Journal 1 September 2024 495
Publikováno v:
In Applied Catalysis B: Environment and Energy 5 December 2024 358
Publikováno v:
In Chemical Engineering Science 5 November 2024 299
Autor:
Bhadriraju, Bhavana, Lee, Jooyoung, Pahari, Silabrata, Yu, Choongho, Khan, Faisal, Kwon, Joseph Sang-Il
Publikováno v:
In Chemical Engineering Journal 1 November 2024 499
Autor:
Nagpal, Satchit, Lee, Chi Ho, Sitapure, Niranjan, Kim, Youngjo, Gagnon, Zachary, Kwon, Joseph Sang-II
Publikováno v:
In Chemical Engineering Journal 1 November 2024 499
Publikováno v:
In Control Engineering Practice November 2024 152