Jay H. Lee

According to our database1, Jay H. Lee authored at least 62 papers between 1991 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


On csauthors.net:


Reinforcement learning based optimal control of batch processes using Monte-Carlo deep deterministic policy gradient with phase segmentation.
Comput. Chem. Eng., 2021

Process systems engineering - <i>The generation next?</i>.
Comput. Chem. Eng., 2021

Dynamic penalty function approach for constraints handling in reinforcement learning.
CoRR, 2020

Forty years of computers & chemical engineering: A bibliometric analysis.
Comput. Chem. Eng., 2020

Multi-phase particle-in-cell coupled with population balance equation (MP-PIC-PBE) method for multiscale computational fluid dynamics simulation.
Comput. Chem. Eng., 2020

Dynamic analysis and linear model predictive control for operational flexibility of post-combustion CO<sub>2</sub> capture processes.
Comput. Chem. Eng., 2020

Modeling, simulation and optimization of the rotating packed bed (RPB) absorber and stripper for MEA-based carbon capture.
Comput. Chem. Eng., 2020

Isotherm parameter library and evaluation software for CO<sub>2</sub> capture adsorbents.
Comput. Chem. Eng., 2020

Multi-objective optimization of operation of lignocellulosic acetone-butanol-ethanol fermentation with ex situ butanol recovery (ESBR).
Comput. Chem. Eng., 2020

An investigation into the hydrodynamics of a spinning cone column: CFD simulations by an Eulerian-Lagrangian approach.
Comput. Chem. Eng., 2020

Robust Dual Control of Batch Processes with Parametric Uncertainty using Proximal Policy Optimization.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Optimal design of heat and water recovery system utilizing waste flue gases for refinery CO<sub>2</sub> reduction.
Comput. Chem. Eng., 2019

Multi-timescale, multi-period decision-making model development by combining reinforcement learning and mathematical programming.
Comput. Chem. Eng., 2019

Reinforcement Learning - Overview of recent progress and implications for process control.
Comput. Chem. Eng., 2019

A model-based optimization of microalgal cultivation strategies for lipid production under photoautotrophic condition.
Comput. Chem. Eng., 2019

Parallel neural networks for improved nonlinear principal component analysis.
Comput. Chem. Eng., 2019

Integrated scheduling of vessel dispatching and port operations in the closed-loop shipping system for transporting petrochemicals.
Comput. Chem. Eng., 2019

An optimization based strategy for crude selection in a refinery with lube hydro-processing.
Comput. Chem. Eng., 2018

Machine learning: Overview of the recent progresses and implications for the process systems engineering field.
Comput. Chem. Eng., 2018

Integrating operations and control: A perspective and roadmap for future research.
Comput. Chem. Eng., 2018

Improved Parameter Estimation of Ill-Conditioned Problems.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

New performance indicators for adsorbent evaluation derived from a reduced order model of an idealized PSA process for CO<sub>2</sub> capture.
Comput. Chem. Eng., 2017

Optimal design for flexible operation of the post-combustion CO<sub>2</sub> capture plant with uncertain economic factors.
Comput. Chem. Eng., 2016

Multi-time scale procurement planning considering multiple suppliers and uncertainty in supply and demand.
Comput. Chem. Eng., 2016

A methodology for the sustainable design and implementation strategy of CO<sub>2</sub> utilization processes.
Comput. Chem. Eng., 2016

Regularized maximum likelihood estimation of sparse stochastic monomolecular biochemical reaction networks.
Comput. Chem. Eng., 2016

Stochastic optimization with value function approximation for micro-grid operation.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Optimization of the various modes of flexible operation for post-combustion CO<sub>2</sub> capture plant.
Comput. Chem. Eng., 2015

Two stage stochastic bilevel programming model of a pre-established timberlands supply chain with biorefinery investment interests.
Comput. Chem. Eng., 2015

Optimal processing pathway selection for microalgae-based biorefinery under uncertainty.
Comput. Chem. Eng., 2015

Analysis and comparison of single period single level and bilevel programming representations of a pre-existing timberlands supply chain with a new biorefinery facility.
Comput. Chem. Eng., 2014

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

Fast moving horizon estimation for a two-dimensional distributed parameter system.
Comput. Chem. Eng., 2014

Special issue in Honor of Manfred Morari's 60th Birthday.
Comput. Chem. Eng., 2014

Sparse identification in chemical master equations for monomolecular reaction networks.
Proceedings of the American Control Conference, 2014

Optimal processing pathway for the production of biodiesel from microalgal biomass: A superstructure based approach.
Comput. Chem. Eng., 2013

MILP based value backups in partially observed Markov decision processes (POMDPs) with very large or continuous action and observation spaces.
Comput. Chem. Eng., 2013

Genome-scale metabolic model of the fission yeast Schizosaccharomyces pombe and the reconciliation of in silico/in vivo mutant growth.
BMC Syst. Biol., 2012

Optimal design and global sensitivity analysis of biomass supply chain networks for biofuels under uncertainty.
Comput. Chem. Eng., 2011

Controlled exploration of state space in off-line ADP and its application to stochastic shortest path problems.
Comput. Chem. Eng., 2009

A reinforcement learning-based scheme for adaptive optimal control of linear stochastic systems.
Proceedings of the American Control Conference, 2008

Approximate dynamic programming based approach to process control and scheduling.
Comput. Chem. Eng., 2006

Identifying the interacting positions of a protein using Boolean learning and support vector machines.
Comput. Biol. Chem., 2006

Optimal control of a fed-batch bioreactor using simulation-based approximate dynamic programming.
IEEE Trans. Control. Syst. Technol., 2005

Approximate dynamic programming-based approaches for input-output data-driven control of nonlinear processes.
Autom., 2005

An introduction to a dynamic plant-wide optimization strategy for an integrated plant.
Comput. Chem. Eng., 2004

An algorithmic framework for improving heuristic solutions: Part I. A deterministic discount coupon traveling salesman problem.
Comput. Chem. Eng., 2004

Dynamic programming in a heuristically confined state space: a stochastic resource-constrained project scheduling application.
Comput. Chem. Eng., 2004

An algorithmic framework for improving heuristic solutions: Part II. A new version of the stochastic traveling salesman problem.
Comput. Chem. Eng., 2004

On the use of constraints in least squares estimation and control.
Autom., 2002

Constrained linear state estimation - a moving horizon approach.
Autom., 2001

Control-relevant experiment design for multivariable systems described by expansions in orthonormal bases.
Autom., 2001

Convergence of constrained model-based predictive control for batch processes.
IEEE Trans. Autom. Control., 2000

Model-based iterative learning control with a quadratic criterion for time-varying linear systems.
Autom., 2000

Min-max predictive control techniques for a linear state-space system with a bounded set of input matrices.
Autom., 2000

Optimal feedback control strategies for state-space systems with stochastic parameters.
IEEE Trans. Autom. Control., 1998

A method for the estimation of infrequent abrupt changes in nonlinear systems.
Autom., 1998

Control structure selection and robust control system design for a high-purity distillation column.
IEEE Trans. Control. Syst. Technol., 1997

Worst-case formulations of model predictive control for systems with bounded parameters.
Autom., 1997

Screening tools for robust control structure selection.
Autom., 1995

State-space interpretation of model predictive control.
Autom., 1994

Robust measurement selection.
Autom., 1991