Jay H. Lee

According to our database1, Jay H. Lee authored at least 50 papers between 1991 and 2020.

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



In proceedings 
PhD thesis 


On csauthors.net:


An investigation into the hydrodynamics of a spinning cone column: CFD simulations by an Eulerian-Lagrangian approach.
Computers & Chemical Engineering, 2020

Optimal design of heat and water recovery system utilizing waste flue gases for refinery CO2 reduction.
Computers & Chemical Engineering, 2019

Multi-timescale, multi-period decision-making model development by combining reinforcement learning and mathematical programming.
Computers & Chemical Engineering, 2019

Reinforcement Learning - Overview of recent progress and implications for process control.
Computers & Chemical Engineering, 2019

A model-based optimization of microalgal cultivation strategies for lipid production under photoautotrophic condition.
Computers & Chemical Engineering, 2019

Parallel neural networks for improved nonlinear principal component analysis.
Computers & Chemical Engineering, 2019

Integrated scheduling of vessel dispatching and port operations in the closed-loop shipping system for transporting petrochemicals.
Computers & Chemical Engineering, 2019

An optimization based strategy for crude selection in a refinery with lube hydro-processing.
Computers & Chemical Engineering, 2018

Machine learning: Overview of the recent progresses and implications for the process systems engineering field.
Computers & Chemical Engineering, 2018

Integrating operations and control: A perspective and roadmap for future research.
Computers & Chemical Engineering, 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 CO2 capture.
Computers & Chemical Engineering, 2017

Optimal design for flexible operation of the post-combustion CO2 capture plant with uncertain economic factors.
Computers & Chemical Engineering, 2016

Multi-time scale procurement planning considering multiple suppliers and uncertainty in supply and demand.
Computers & Chemical Engineering, 2016

A methodology for the sustainable design and implementation strategy of CO2 utilization processes.
Computers & Chemical Engineering, 2016

Regularized maximum likelihood estimation of sparse stochastic monomolecular biochemical reaction networks.
Computers & Chemical Engineering, 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 CO2 capture plant.
Computers & Chemical Engineering, 2015

Two stage stochastic bilevel programming model of a pre-established timberlands supply chain with biorefinery investment interests.
Computers & Chemical Engineering, 2015

Optimal processing pathway selection for microalgae-based biorefinery under uncertainty.
Computers & Chemical Engineering, 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.
Computers & Chemical Engineering, 2014

From robust model predictive control to stochastic optimal control and approximate dynamic programming: A perspective gained from a personal journey.
Computers & Chemical Engineering, 2014

Fast moving horizon estimation for a two-dimensional distributed parameter system.
Computers & Chemical Engineering, 2014

Special issue in Honor of Manfred Morari's 60th Birthday.
Computers & Chemical Engineering, 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.
Computers & Chemical Engineering, 2013

MILP based value backups in partially observed Markov decision processes (POMDPs) with very large or continuous action and observation spaces.
Computers & Chemical Engineering, 2013

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

Optimal design and global sensitivity analysis of biomass supply chain networks for biofuels under uncertainty.
Computers & Chemical Engineering, 2011

Controlled exploration of state space in off-line ADP and its application to stochastic shortest path problems.
Computers & Chemical Engineering, 2009

Approximate dynamic programming based approach to process control and scheduling.
Computers & Chemical Engineering, 2006

Identifying the interacting positions of a protein using Boolean learning and support vector machines.
Computational Biology and Chemistry, 2006

Optimal control of a fed-batch bioreactor using simulation-based approximate dynamic programming.
IEEE Trans. Contr. Sys. Techn., 2005

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

An introduction to a dynamic plant-wide optimization strategy for an integrated plant.
Computers & Chemical Engineering, 2004

An algorithmic framework for improving heuristic solutions: Part I. A deterministic discount coupon traveling salesman problem.
Computers & Chemical Engineering, 2004

Dynamic programming in a heuristically confined state space: a stochastic resource-constrained project scheduling application.
Computers & Chemical Engineering, 2004

An algorithmic framework for improving heuristic solutions: Part II. A new version of the stochastic traveling salesman problem.
Computers & Chemical Engineering, 2004

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

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

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

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

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

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

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

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

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

Screening tools for robust control structure selection.
Automatica, 1995

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

Robust measurement selection.
Automatica, 1991