Ivan Castillo
Ivan Castillo
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Cited by
Cited by
Big data analytics in chemical engineering
L Chiang, B Lu, I Castillo
Annual review of chemical and biomolecular engineering 8, 63-85, 2017
Recent trends on hybrid modeling for Industry 4.0
J Sansana, MN Joswiak, I Castillo, Z Wang, R Rendall, LH Chiang, ...
Computers & Chemical Engineering 151, 107365, 2021
Industrial PLS model variable selection using moving window variable importance in projection
B Lu, I Castillo, L Chiang, TF Edgar
Chemometrics and Intelligent Laboratory Systems 135, 90-109, 2014
Dimensionality reduction for visualizing industrial chemical process data
M Joswiak, Y Peng, I Castillo, LH Chiang
Control Engineering Practice 93, 104189, 2019
Soft sensor model maintenance: A case study in industrial processes
K Chen, I Castillo, LH Chiang, J Yu
IFAC-PapersOnLine 48 (8), 427-432, 2015
Image-based manufacturing analytics: Improving the accuracy of an industrial pellet classification system using deep neural networks
R Rendall, I Castillo, B Lu, B Colegrove, M Broadway, LH Chiang, ...
Chemometrics and Intelligent Laboratory Systems 180, 26-35, 2018
A unifying and integrated framework for feature oriented analysis of batch processes
R Rendall, B Lu, I Castillo, ST Chin, LH Chiang, MS Reis
Industrial & Engineering Chemistry Research 56 (30), 8590-8605, 2017
Robust model‐based fault detection and isolation for nonlinear processes using sliding modes
I Castillo, TF Edgar, BR Fernández
International Journal of Robust and Nonlinear Control 22 (1), 89-104, 2012
Plant–Model Mismatch Estimation from Closed-Loop Data for State-Space Model Predictive Control¶
JM Simkoff, S Wang, M Baldea, LH Chiang, I Castillo, R Bindlish, ...
Industrial & Engineering Chemistry Research 57 (10), 3732-3741, 2018
Integration of process knowledge and statistical learning for the dow data challenge problem
SJ Qin, S Guo, Z Li, LH Chiang, I Castillo, B Braun, Z Wang
Computers & Chemical Engineering 153, 107451, 2021
Autocovariance-based plant-model mismatch estimation for linear model predictive control
S Wang, JM Simkoff, M Baldea, LH Chiang, I Castillo, R Bindlish, ...
Systems & Control Letters 104, 5-14, 2017
Data science challenges in chemical manufacturing
B Braun, I Castillo, M Joswiak, Y Peng, R Rendall, A Schmidt, Z Wang, ...
IFAC preprints, 2020
Using a distributed control system (DCS) for distillation column control in an undergraduate unit operations laboratory
I Castillo, TF Edgar
2009 American Control Conference, 2744-2748, 2009
Wide spectrum feature selection (WiSe) for regression model building
R Rendall, I Castillo, A Schmidt, ST Chin, LH Chiang, M Reis
Computers & Chemical Engineering 121, 99-110, 2019
Towards artificial intelligence at scale in the chemical industry
LH Chiang, B Braun, Z Wang, I Castillo
AIChE Journal 68 (6), e17644, 2022
Data‐driven plant‐model mismatch estimation for dynamic matrix control systems
X Xu, JM Simkoff, M Baldea, LH Chiang, I Castillo, R Bindlish, B Ashcraft
International Journal of Robust and Nonlinear Control 30 (17), 7103-7129, 2020
A hybrid modeling approach for catalyst monitoring and lifetime prediction
L Bui, M Joswiak, I Castillo, A Phillips, J Yang, D Hickman
ACS Engineering Au 2 (1), 17-26, 2021
Data-driven optimization of an industrial batch polymerization process using the design of dynamic experiments methodology
C Georgakis, ST Chin, Z Wang, P Hayot, L Chiang, J Wassick, I Castillo
Industrial & Engineering Chemistry Research 59 (33), 14868-14880, 2020
Autocovariance-based MPC model mismatch estimation for systems with measurable disturbances
S Wang, JM Simkoff, M Baldea, LH Chiang, I Castillo, R Bindlish, ...
Journal of Process Control 55, 42-54, 2017
Nonlinear model-based fault detection with fuzzy set fault isolation
I Castillo, TF Edgar, R Dunia
IECON 2010-36th Annual Conference on IEEE Industrial Electronics Society …, 2010
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