Ivan Castillo

According to our database, Ivan Castillo authored at least 13 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

From Open Loop to Real-time Recipe Optimization for Complex Industrial Batch Processes^*.

Lingxun Kong, Ivan Castillo, You Peng, Ricardo R. Rendall, Zhenyu Wang, Daniel Trahan, David Bentley

Proceedings of the American Control Conference, 2023

2022

Data analysis using Riemannian geometry and applications to chemical engineering.

Alexander D. Smith, Benjamin Laubach, Ivan Castillo, Victor M. Zavala

Comput. Chem. Eng., 2022

Continuous assessment of data sources quality for improving the resilience of multisource fusion platforms.

Eugeniu Strelet, Zhenyu Wang, You Peng, Ivan Castillo, Ricardo R. Rendall, Birgit Braun, Leo H. Chiang, Marco S. Reis

Proceedings of the American Control Conference, 2022

2021

Recent trends on hybrid modeling for Industry 4.0.

Joel Sansana, Mark N. Joswiak, Ivan Castillo, Zhenyu Wang, Ricardo R. Rendall, Leo H. Chiang, Marco S. Reis

Comput. Chem. Eng., 2021

Integration of process knowledge and statistical learning for the Dow data challenge problem.

Si-Zhao Joe Qin, Siyi Guo, Zheyu Li, Leo H. Chiang, Ivan Castillo, Birgit Braun, Zhenyu Wang

Comput. Chem. Eng., 2021

Digital Hand Tracking. Interacción sin contacto para la manipulación de imágenes diagnósticas en el quirófano.

Luis Eduardo Bautista Rojas, Ivan Castillo, Hernando Espinel, Juan Fonseca, Silvia Rodriguez

Proceedings of the CLIHC 2021: X Latin American Conference on Human Computer Interaction, 2021

Reinforcement Learning-Based Fed-Batch Optimization with Reaction Surrogate Model.

Yan Ma, Zhenyu Wang, Ivan Castillo, Ricardo R. Rendall, Rahul Bindlish, Brian Ashcraft, David Bentley, Michael G. Benton, José A. Romagnoli, Leo H. Chiang

Proceedings of the 2021 American Control Conference, 2021

2020

Data-driven plant-model mismatch quantification for MIMO MPC systems with feedforward control path.

Xiaodong Xu, Jodie M. Simkoff, Michael Baldea, Leo H. Chiang, Ivan Castillo, Rahul Bindlish, Brian Ashcraft

Proceedings of the 2020 American Control Conference, 2020

2019

Wide spectrum feature selection (WiSe) for regression model building.

Ricardo R. Rendall, Ivan Castillo, Alix Schmidt, Swee-Teng Chin, Leo H. Chiang, Marco S. Reis

Comput. Chem. Eng., 2019

2017

Autocovariance-based plant-model mismatch estimation for linear model predictive control.

Siyun Wang, Jodie M. Simkoff, Michael Baldea, Leo H. Chiang, Ivan Castillo, Rahul Bindlish, David B. Stanley

Syst. Control. Lett., 2017

Plant-model mismatch evaluation for unconstrained MPC with state estimation.

Jodie M. Simkoff, Siyun Wang, Michael Baldea, Leo H. Chiang, Ivan Castillo, Rahul Bindlish, David B. Stanley

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Plant-model mismatch estimation in unconstrained state-space MPC.

Jodie M. Simkoff, Siyun Wang, Michael Baldea, Leo H. Chiang, Ivan Castillo, Rahul Bindlish, David B. Stanley

Proceedings of the 2017 American Control Conference, 2017

2009

Using a distributed control system (DCS) for distillation column control in an undergraduate unit operations laboratory.

Ivan Castillo, Thomas F. Edgar

Proceedings of the American Control Conference, 2009