Robust measurement selection. - Jay H. Lee; Manfred Morari (Autom., 1991)

State-space interpretation of model predictive control. - Jay H. Lee; Manfred Morari; Carlos E. Garcia (Autom., 1994)

Screening tools for robust control structure selection. - Jay H. Lee; Richard D. Braatz; Manfred Morari; Andrew K. Packard (Autom., 1995)

Worst-case formulations of model predictive control for systems with bounded parameters. - Jay H. Lee; Zhenghong Yu (Autom., 1997)

Control structure selection and robust control system design for a high-purity distillation column. - Jay H. Lee; Parthasarathy Kesavan; Manfred Morari (IEEE Trans. Control. Syst. Technol., 1997)

A method for the estimation of infrequent abrupt changes in nonlinear systems. - Douglas G. Robertson; Jay H. Lee (Autom., 1998)

Optimal feedback control strategies for state-space systems with stochastic parameters. - Jay H. Lee; Brian L. Cooley (IEEE Trans. Autom. Control., 1998)

LMI-based optimal design of test signals for control-relevant system identification. - Jay H. Lee; Yudi Samyudia (ACC, 2000)

Recursive data-based prediction and control of product quality for a batch PMMA reactor. - Yangdong Pan; Jay H. Lee (ACC, 2000)

Min-max predictive control techniques for a linear state-space system with a bounded set of input matrices. - Jay H. Lee; Brian L. Cooley (Autom., 2000)

Model-based iterative learning control with a quadratic criterion for time-varying linear systems. - Jay H. Lee; Kwang S. Lee; Won C. Kim (Autom., 2000)

Convergence of constrained model-based predictive control for batch processes. - Kwang S. Lee; Jay H. Lee (IEEE Trans. Autom. Control., 2000)

Control-relevant experiment design for multivariable systems described by expansions in orthonormal bases. - Brian L. Cooley; Jay H. Lee (Autom., 2001)

Constrained linear state estimation - a moving horizon approach. - Christopher V. Rao; James B. Rawlings; Jay H. Lee (Autom., 2001)

Run-to-run control of multidimensional crystal size distribution in a batch crystallizer. - Kangwook Lee 007; Jay H. Lee; Mitsuko Fujiwara; David L. Ma; Richard D. Braatz (ACC, 2002)

Process monitoring of continuous processes with periodic operation patterns. - Yangdong Pan; ChangKyoo Yoo; Jay H. Lee; In-Beum Lee (ACC, 2002)

On the use of constraints in least squares estimation and control. - Douglas G. Robertson; Jay H. Lee (Autom., 2002)

Robust forecasts and run-to-run control for processes with linear drifts. - Swathy Ramaswamy; Jay H. Lee (ACC, 2003)

Java applet modules for undergraduate process control education. - Dae Ryook Yang; Jay H. Lee (ACC, 2003)

Empirical model based control of nonlinear processes using approximate dynamic programming. - Jong Min Lee; Jay H. Lee (ACC, 2004)

Real-time economic optimization for an integrated plant via a dynamic optimization scheme. - Thidarat Tosukhowong; Jay H. Lee (ACC, 2004)

An algorithmic framework for improving heuristic solutions: Part II. A new version of the stochastic traveling salesman problem. - Jaein Choi; Jay H. Lee; Matthew J. Realff (Comput. Chem. Eng., 2004)

Dynamic programming in a heuristically confined state space: a stochastic resource-constrained project scheduling application. - Jaein Choi; Matthew J. Realff; Jay H. Lee (Comput. Chem. Eng., 2004)

An algorithmic framework for improving heuristic solutions: Part I. A deterministic discount coupon traveling salesman problem. - Jaein Choi; Matthew J. Realff; Jay H. Lee (Comput. Chem. Eng., 2004)

An introduction to a dynamic plant-wide optimization strategy for an integrated plant. - Thidarat Tosukhowong; Jong Min Lee 002; Jay H. Lee; Joseph Lu (Comput. Chem. Eng., 2004)

Approximate dynamic programming-based approaches for input-output data-driven control of nonlinear processes. - Jong Min Lee 002; Jay H. Lee (Autom., 2005)

Optimal control of a fed-batch bioreactor using simulation-based approximate dynamic programming. - Catalina Valencia Peroni; Niket S. Kaisare; Jay H. Lee (IEEE Trans. Control. Syst. Technol., 2005)

Identifying the interacting positions of a protein using Boolean learning and support vector machines. - Anshul Dubey; Matthew J. Realff; Jay H. Lee; Andreas S. Bommarius (Comput. Biol. Chem., 2006)

Approximate dynamic programming based approach to process control and scheduling. - Jay H. Lee; Jong Min Lee 002 (Comput. Chem. Eng., 2006)

A reinforcement learning-based scheme for adaptive optimal control of linear stochastic systems. - Wee Chin Wong; Jay H. Lee (ACC, 2008)

Editorial note. - Rafiqul Gani; Andy Hrymak; Jay H. Lee; Venkat Venkatasubramanian (Comput. Chem. Eng., 2009)

Controlled exploration of state space in off-line ADP and its application to stochastic shortest path problems. - Nikolaos E. Pratikakis; Matthew J. Realff; Jay H. Lee (Comput. Chem. Eng., 2009)

Optimal design and global sensitivity analysis of biomass supply chain networks for biofuels under uncertainty. - Jinkyung Kim; Matthew J. Realff; Jay H. Lee (Comput. Chem. Eng., 2011)

Genome-scale metabolic model of the fission yeast Schizosaccharomyces pombe and the reconciliation of in silico/in vivo mutant growth. - Seung Sohn; Tae Kim; Jay H. Lee; Sang Lee (BMC Syst. Biol., 2012)

MILP based value backups in partially observed Markov decision processes (POMDPs) with very large or continuous action and observation spaces. - Rakshita Agrawal; Matthew J. Realff; Jay H. Lee (Comput. Chem. Eng., 2013)

Optimal processing pathway for the production of biodiesel from microalgal biomass: A superstructure based approach. - Muhammad Rizwan 002; Jay H. Lee; Rafiqul Gani (Comput. Chem. Eng., 2013)

Sparse identification in chemical master equations for monomolecular reaction networks. - Kwang Ki Kevin Kim; Hong Jang; R. Bhushan Gopaluni; Jay H. Lee; Richard D. Braatz (ACC, 2014)

Special issue in Honor of Manfred Morari's 60th Birthday. - Richard D. Braatz; Jay H. Lee (Comput. Chem. Eng., 2014)

Fast moving horizon estimation for a two-dimensional distributed parameter system. - Hong Jang; Jay H. Lee; Richard D. Braatz; Kwang Ki Kevin Kim (Comput. Chem. Eng., 2014)

From robust model predictive control to stochastic optimal control and approximate dynamic programming: A perspective gained from a personal journey. - Jay H. Lee (Comput. Chem. Eng., 2014)

Analysis and comparison of single period single level and bilevel programming representations of a pre-existing timberlands supply chain with a new biorefinery facility. - Kevin Yeh; Matthew J. Realff; Jay H. Lee; Craig Whittaker (Comput. Chem. Eng., 2014)

Optimal processing pathway selection for microalgae-based biorefinery under uncertainty. - Muhammad Rizwan 002; Muhammad Zaman; Jay H. Lee; Rafiqul Gani (Comput. Chem. Eng., 2015)

Two stage stochastic bilevel programming model of a pre-established timberlands supply chain with biorefinery investment interests. - Kevin Yeh; Craig Whittaker; Matthew J. Realff; Jay H. Lee (Comput. Chem. Eng., 2015)

Optimization of the various modes of flexible operation for post-combustion CO2 capture plant. - Muhammad Zaman; Jay H. Lee (Comput. Chem. Eng., 2015)

Stochastic optimization with value function approximation for micro-grid operation. - Joohyun Shin; Jay H. Lee; Matthew J. Realff (CDC, 2016)

Regularized maximum likelihood estimation of sparse stochastic monomolecular biochemical reaction networks. - Hong Jang; Kwang-Ki K. Kim; Richard D. Braatz; R. Bhushan Gopaluni; Jay H. Lee (Comput. Chem. Eng., 2016)

A methodology for the sustainable design and implementation strategy of CO2 utilization processes. - Kosan Roh; Rebecca Frauzem; Tuan B. H. Nguyen; Rafiqul Gani; Jay H. Lee (Comput. Chem. Eng., 2016)

Multi-time scale procurement planning considering multiple suppliers and uncertainty in supply and demand. - Joohyun Shin; Jay H. Lee (Comput. Chem. Eng., 2016)

Optimal design for flexible operation of the post-combustion CO2 capture plant with uncertain economic factors. - Muhammad Zaman; Hong Jang; Muhammad Rizwan 002; Jay H. Lee (Comput. Chem. Eng., 2016)

New performance indicators for adsorbent evaluation derived from a reduced order model of an idealized PSA process for CO2 capture. - Seongbin Ga; Hong Jang; Jay H. Lee (Comput. Chem. Eng., 2017)

Improved Parameter Estimation of Ill-Conditioned Problems. - Boeun Kim; Jay H. Lee (CDC, 2018)

Integrating operations and control: A perspective and roadmap for future research. - Prodromos Daoutidis; Jay H. Lee; Iiro Harjunkoski; Sigurd Skogestad; Michael Baldea; Christos Georgakis 002 (Comput. Chem. Eng., 2018)

Machine learning: Overview of the recent progresses and implications for the process systems engineering field. - Jay H. Lee; Joohyun Shin; Matthew J. Realff (Comput. Chem. Eng., 2018)

An optimization based strategy for crude selection in a refinery with lube hydro-processing. - Kyungseok Noh; Joohyun Shin; Jay H. Lee (Comput. Chem. Eng., 2018)

Integrated scheduling of vessel dispatching and port operations in the closed-loop shipping system for transporting petrochemicals. - Heungjo An; Sangdo (Sam) Choi; Jay H. Lee (Comput. Chem. Eng., 2019)

Parallel neural networks for improved nonlinear principal component analysis. - Seongmin Heo; Jay H. Lee (Comput. Chem. Eng., 2019)

A model-based optimization of microalgal cultivation strategies for lipid production under photoautotrophic condition. - Kyung Hwan Ryu; Boeun Kim; Jay H. Lee (Comput. Chem. Eng., 2019)

Reinforcement Learning - Overview of recent progress and implications for process control. - Joohyun Shin; Thomas A. Badgwell; Kuang-Hung Liu; Jay H. Lee (Comput. Chem. Eng., 2019)

Multi-timescale, multi-period decision-making model development by combining reinforcement learning and mathematical programming. - Joohyun Shin; Jay H. Lee (Comput. Chem. Eng., 2019)

Optimal design of heat and water recovery system utilizing waste flue gases for refinery CO2 reduction. - Haeun Yoo; Kosan Roh; Ali S. Al Hunaidy; Hasan Imran; Jay H. Lee (Comput. Chem. Eng., 2019)

Robust Dual Control of Batch Processes with Parametric Uncertainty using Proximal Policy Optimization. - Ha-Eun Byun; Boeun Kim; Jay H. Lee (CDC, 2020)

An investigation into the hydrodynamics of a spinning cone column: CFD simulations by an Eulerian-Lagrangian approach. - Seongwoong Bae; Shin Hyuk Kim; Jay H. Lee (Comput. Chem. Eng., 2020)

Multi-objective optimization of operation of lignocellulosic acetone-butanol-ethanol fermentation with ex situ butanol recovery (ESBR). - Ha-Eun Byun; Boeun Kim; Jongkoo Lim; Jay H. Lee (Comput. Chem. Eng., 2020)

Isotherm parameter library and evaluation software for CO2 capture adsorbents. - Seongbin Ga; Sangwon Lee; Jihan Kim; Jay H. Lee (Comput. Chem. Eng., 2020)

Modeling, simulation and optimization of the rotating packed bed (RPB) absorber and stripper for MEA-based carbon capture. - Dasom Im; Howoun Jung; Jay H. Lee (Comput. Chem. Eng., 2020)

Dynamic analysis and linear model predictive control for operational flexibility of post-combustion CO2 capture processes. - Howoun Jung; Dasom Im; Seongmin Heo; Boeun Kim; Jay H. Lee (Comput. Chem. Eng., 2020)

Multi-phase particle-in-cell coupled with population balance equation (MP-PIC-PBE) method for multiscale computational fluid dynamics simulation. - Shin Hyuk Kim; Jay H. Lee; Richard D. Braatz (Comput. Chem. Eng., 2020)

Forty years of computers & chemical engineering: A bibliometric analysis. - Nikunja Mohan Modak; Valeria Lobos-Ossandón; José M. Merigó; Bogdan Gabrys; Jay H. Lee (Comput. Chem. Eng., 2020)

Dynamic penalty function approach for constraints handling in reinforcement learning. - Haeun Yoo; Victor M. Zavala; Jay H. Lee (CoRR, 2020)

Reinforcement learning for batch process control: Review and perspectives. - Haeun Yoo; Ha-Eun Byun; Dongho Han; Jay H. Lee (Annu. Rev. Control., 2021)

Multi-scale fluid dynamics simulation based on MP-PIC-PBE method for PMMA suspension polymerization. - Shin Hyuk Kim; Jay H. Lee; Richard D. Braatz (Comput. Chem. Eng., 2021)

Erratum to "Forty years of computers & chemical engineering: A bibliometric analysis" [Computers & Chemical Engineering 141 (2020) 106978]. - Nikunja Mohan Modak; Jay H. Lee; José M. Merigó (Comput. Chem. Eng., 2021)

Process systems engineering - The generation next?. - Efstratios N. Pistikopoulos; Ana Barbosa-Póvoa; Jay H. Lee; Ruth Misener; Alexander Mitsos; Gintaras V. Reklaitis; Venkat Venkatasubramanian; Fengqi You; Rafiqul Gani (Comput. Chem. Eng., 2021)

Reinforcement learning based optimal control of batch processes using Monte-Carlo deep deterministic policy gradient with phase segmentation. - Haeun Yoo; Boeun Kim; Jong Woo Kim; Jay H. Lee (Comput. Chem. Eng., 2021)

Model predictive control of fiber deformation in a batch pulp digester. - Juyeong Jung; Hyun-Kyu Choi; Sang Hwan Son; Joseph Sang-Il Kwon; Jay H. Lee (ACC, 2022)

Multi-step lookahead Bayesian optimization with active learning using reinforcement learning and its application to data-driven batch-to-batch optimization. - Ha-Eun Byun; Boeun Kim; Jay H. Lee (Comput. Chem. Eng., 2022)

CFD analysis and scale up of a baffled membrane reactor for hydrogen production by steam methane reforming. - Hongbum Choi; Shin Hyuk Kim; Joongmyeon Bae; Sai P. R. Katikaneni; Aqil Jamal; Aadesh Harale; Stephen N. Paglieri; Jay H. Lee (Comput. Chem. Eng., 2022)

RD-toolbox: A computer aided toolbox for integrated design and control of reactive distillation processes. - Ashfaq Iftakher; David A. Liñán; Seyed Soheil Mansouri; Ahaduzzaman Nahid; M. M. Faruque Hasan; M. A. A. Shoukat Choudhury; Luis A. Ricardez-Sandoval; Jay H. Lee (Comput. Chem. Eng., 2022)

Multiscale modeling of fiber deformation: Application to a batch pulp digester for model predictive control of fiber strength. - Juyeong Jung; Hyun-Kyu Choi; Sang Hwan Son; Joseph Sang-Il Kwon; Jay H. Lee (Comput. Chem. Eng., 2022)

Development of inferential sensor and real-time optimizer for a vacuum distillation unit by recurrent neural network modeling of time series data. - Yo Sung Yoon; Woohyun Jeong; Jaeyong Kim; Mingyun Seok; Junsoo Park; Jaemin Bae; Kyungmin Lee; Jay H. Lee (Comput. Chem. Eng., 2022)

Attention Mechanism for Lithium-Ion Battery Lifespan Prediction: Temporal and Cyclic Attention. - Jaewook Lee; Seongmin Heo; Jay H. Lee (CoRR, 2023)

Electrification of CO2 conversion into chemicals and fuels: Gaps and opportunities in process systems engineering. - Wonsuk Chung; Woohyun Jeong; Jaeseo Lee; Junehyeok Kim; Kosan Roh; Jay H. Lee (Comput. Chem. Eng., 2023)

Optimal design of offshore wind power farm in high resolution using geographical information system. - Sunwoo Kim; Seongwhan Kang; Jay H. Lee (Comput. Chem. Eng., 2023)

Identification of sustainable carbon capture and utilization (CCU) pathways using state-task network representation. - Wonsuk Chung; Sunwoo Kim; Ali S. Al Hunaidy; Hasan Imran; Aqil Jamal; Jay H. Lee (Comput. Chem. Eng., 2023)

Embedding active learning in batch-to-batch optimization using reinforcement learning. - Ha-Eun Byun; Boeun Kim; Jay H. Lee (Autom., 2023)

Stochastic programming of energy system operations considering terminal energy storage levels. - Teemu J. Ikonen; Dongho Han; Jay H. Lee; Iiro Harjunkoski (Comput. Chem. Eng., 2023)

Flexible operation of Post-combustion CO2 capture process enabled by NARX-MPC using neural network. - Howoun Jung; Jay H. Lee (Comput. Chem. Eng., 2023)

Non-myopic Bayesian optimization using model-free reinforcement learning and its application to optimization in electrochemistry. - Mujin Cheon; Ha-Eun Byun; Jay H. Lee (Comput. Chem. Eng., 2024)

Evaluating the Efficiency and Cost-effectiveness of RPB-based CO2 Capture: A Comprehensive Approach to Simultaneous Design and Operating Condition Optimization. - Howoun Jung; Nohjin Park; Jay H. Lee (CoRR, 2024)

Multi-technology co-optimization approach for sustainable hydrogen and electricity supply chains considering variability and demand scale. - Sunwoo Kim; Joungho Park; Jay H. Lee (CoRR, 2024)

EARL-BO: Reinforcement Learning for Multi-Step Lookahead, High-Dimensional Bayesian Optimization. - Mujin Cheon; Jay H. Lee; Dong-Yeun Koh; Calvin Tsay (CoRR, 2024)

Machine learning in process systems engineering: Challenges and opportunities. - Prodromos Daoutidis; Jay H. Lee; Srinivas Rangarajan; Leo Chiang; R. Bhushan Gopaluni; Artur M. Schweidtmann; Iiro Harjunkoski; Mehmet Mercangöz; Ali Mesbah 002; Fani Boukouvala; Fernando V. Lima; Ehecatl Antonio del Rio-Chanona; et al. (Comput. Chem. Eng., 2024)

Noninvasive inline imaging and computer vision-based quality variable estimation for continuous slug-flow crystallizers. - Derrick Adams; Jay H. Lee; Shin Hyuk Kim; Seongmin Heo (Comput. Chem. Eng., 2025)

Bayesian optimization for quick determination of operating variables of simulated moving bed chromatography. - Woohyun Jeong; Namjin Jang; Jay H. Lee (Comput. Chem. Eng., 2025)

Integrating solid direct air capture systems with green hydrogen production: Economic benefits and curtailment reduction. - Sunwoo Kim; Joungho Park; Jay H. Lee (Comput. Chem. Eng., 2025)

Extracting key temporal and cyclic features from VIT data to predict lithium-ion battery knee points using attention mechanisms. - Jaewook Lee; Seongmin Heo; Jay H. Lee (Comput. Chem. Eng., 2025)

Microkinetic insights into the impact of coking in dry reforming of methane. - Hye Min Choi; Niket S. Kaisare; Jay H. Lee (Comput. Chem. Eng., 2026)