Laboratory for Information and Decisions for Complex and Uncertain Systems  [Home]

 

 

 

Published Books and Parts of Books

 

Refereed Publications

 

Refereed Conference Proceeding Papers

 

posti01.gifPublished Books and Parts of Books

A.     Pratikakis, N., M. J. Realff, and J. H. Lee, “A Real Time Approximate Dynamic Programming Approach: A High Dimensional Supply Chain Application,” Chapter 4 published in Papageorgiou, L. , Georgiadis, M. (eds.) Process Systems Engineering Volume 4: Supply Chain Optimization, Wiley, 2007.

 

B.     Jorgensen, S. B. and J. H. Lee, “Recent Advances and Challenges in Process Identification,” 6th International Conference on Chemical Process Control, edited by J. Rawlings, B. Ogunnaike, and J. Eaton, AIChE Symposium Series, Vol. 98, No. 326, pp. 55-74, 2002.

 

C.     Lee, J. H., “Modeling for Nonlinear Model Predictive Control: Requirements, Current Status and Future Research Needs,”  Nonlinear Model Predictive Control, F. Allgower and A. Zheng (Eds.), Progress in Systems and Control Theory Series, Vol. 26, Birkhauser Verlag, Basel 2000.

 

D.     Lee, K. S. and J. H. Lee, “Design of Quadratic Criterion-based Iterative Learning Control,” Iterative Learning Control: Analysis, Design, Integration and Applications, edited by Z. Bien and J. Xu, pp. 165-192, Kluwer Academic Publisher, Boston, MA, 1998.

 

E.      Lee, K. S. and J. H. Lee, “Model-Based Predictive Control Combined with Iterative Learning for Batch or Repetitive Processes,” Iterative Learning Control: Analysis, Design, Integration and Applications, edited by Z. Bien and J. Xu, pp. 313-334, Kluwer Academic Publisher, Boston, MA, 1998.

 

F.      Lee, J. H. and B. Cooley, “Recent Advances in Model Predictive Control and Other Related Areas,” 5th International Conference on Chemical Process Control, edited by J. Kantor, C. Garcia, and B. Carnahan, AIChE Symposium Series, Vol. 91, No. 316, pp. 201-216, 1997.

 

G.     Lee, J. H., “Model Predictive Control,” CRC Industrial Electronics Handbook, pp. 515-521, 1996.

 

H.     Chikkula, Y. and J. H. Lee, “Applications of Wavelets in Process Control,” Wavelet Applications in Chemical Engineering, pp. 175-208, Kluwer Academic Publisher, Boston, MA, 1994.

 

I.         Morari, M. and J. H. Lee, “Model Predictive Control - The Good, The Bad, and The Ugly,” CPC IV,Ed. by Y. Arkun and W. Ray, CACHE-AICHE, pp. 419-444, 1989.

 

J.       Morari, M. and J. H. Lee, “Robust Control Structure Selection,” Signal Processing Part II: Application of Control Theory, Springer-Verlag, pp. 195-219, 1989.

 

 

posti01.gifRefereed Publications

i. Currently in review
  1. Dubey, A., M. J. Realff, J. H. Lee, and A. S. Bommarius, “IPAC: An Algorithm for Learning Boolean Functions in the Presence of Classification Noise and Irrelevant Attributes” Journal of Machine Learning Research, currently in review, 2008.

 

  1. Pratikakis, N., M. J. Realff, and J. H. Lee, “A Controlled Exploration of the State Space via an Off-line ADP Approach: Applications on Stochastic Shortest Path and Manufacturing Systems,” currently in review, Computers and Chemical Engineering, 2008.

 

  1. Wong, W. C. and J. H. Lee, “Realistic disturbance modeling using Hidden Markov Models: applications in model-based process control,” Journal of Process Control, currently in review, 2008.

 

  1. Agrawal, R., J. H. Lee, and M. J. Realff, “On the Structure of Optimal Maintenance and Inspection Policies for Systems with Degrading Resources and Defect Propagation, IEEE Transactions on Manufacturing, currently in review, 2008

 

  1. Wong, W. C., H. S. Song, J. H. Lee, and D. Ramkrishina, “Hybrid cybernetic model-based simulation of continuous production of lignocellulosic ethanol: Rejecting abruptly changing feed conditions,” Control Engineering Practice, currently in review, 2008.

 

  1. Bansal, Prabuddha, Mélanie Hall, Matthew J. Realff, Jay H. Lee, Andreas S. Bommarius, “Modeling Cellulase Kinetics On Lignocellulosic Substrates,” Current Trends in Biotechnology, currently in review, 2009.

 

  1. Hall, Mélanie, Prabuddha Bansal,  Matthew J. Realff, Jay H. Lee, Andreas S. Bommarius, “Substrate-based Limitations in the Enzymatic Hydrolysis of Cellulose: Crystallinity is a Key Determinant Conversion Rate Factor but Remains Constant over Hydrolysis,” Biomacromolecules, currently in review, 2009.

 

 

ii. Published or In Press

1.      Tosukhowong, T. and J. H. Lee, “Approximate Dynamic Programming based optimal control applied to an integrated plant with recycle,” AIChE J., accepted, 2008.

 

2.      Lim, H., J. Choi, M. Realff, J. H. Lee, and S. Park, “Proactive Decoking Scheduling Strategy for an Industrial Naphtha Cracking Furnace System under Uncertainty,” Ind. Eng. Chem. Res., accepted, 2008.

 

3.      Wong, W. C. and J. H. Lee, “A Reinforcement Learning-Based Scheme for Direct Adaptive Optimal Control of Linear Stochastic Systems,” Optimal Control Applications and Methods, accepted, 2008.

 

4.      Pratikakis, N., M. J. Realff, and J. H. Lee, “Strategic Capacity Decisions In Manufacturing Using Real-Time Adaptive  Dynamic Programming,” Naval Research Logistics, provisionally accepted, 2008.

 

5.      Lee, J. M. and J. H. Lee, “Value Function Based Approach to the Scheduling of Multiple Controllers,” Journal of Process Control, 18 (6), pp. 533-542, 2008.

 

6.      Pan, Y. and J. H. Lee, “Modified subspace identification method for building a long-range prediction model for inferential control” Control Engineering Practice, 16 (12), 1487-1500, 2008.

 

7.      Tosukhowong, T. and J. H. Lee, “Grey-box Model Identification of an Integrated Plant with Recycle,” I &ECR, 47 (21), pp 8273–8281, 2008.

 

8.      Lee, K. S., W. Won, and J. H. Lee, “Synthesis of run-to-run repetitive control methods using finite impulse response models,” Journal of Process Control, in press (available on the webpage Science Direct), 2008.

 

9.      Kiew, C. M. and J. H. Lee, “Robust Forecasts & Run-to-Run Control for Processes with Linear Drifts,” Journal of Process Control, in press (available on the webpage Science Direct), 2008.

 

10.  Lee, J. M. and J. H. Lee, “An Approximate Dynamic Programming Based Approach to Dual Adaptive Control,” Journal of Process Control, in press (available on the webpage Science Direct), 2008.

 

11.  Lee, J. M. and J. H. Lee, “Simulation-Based Design of Dual-Mode Controller for Nonlinear Processes”  The Canadian Journal of Chemical Engineering, 85, pp. 506-511, 2007

 

12.  Loo, Bernard; A. Dubey; M. Realff, J. H. Lee; and A. Bommarius, “Analysis of Recombinant Sequences for Interacting Residues can Improve the Quality of Combinatorial Library: Case Study on Fluorescent Proteins,” Biotechnology Journal, 3, pp. 63-73, 2008.

 

13.  Lee, J. H. and K. S. Lee, “Iterative Learning Control,” Control Engineering Practice, 15(10), pp. 1306-1318, 2007.

 

14.  Choi, J, M. Realff, and J. H. Lee, “Q-Learning for Resource Constrained Project Scheduling with New Project Arrivals,” International Journal of Robust and Nonlinear Control, 17, pp. 1214-1231, 2007.

 

15.  Pan, Y. and J. H. Lee, “Modified subspace identification method for building a long-range prediction model for inferential control” Control Engineering Practice, accepted, 2007.

 

16.  Lee, G. B., T. Tosukhowong, J. H. Lee, and C. Han, “Fault Diagnosis Using the Hybrid Method of SDG and PLS with Time Delay: the Pulp Mill Process,” Ind. Eng. & Chem. Research, 45(26), pp. 906-9074, 2006.

 

17.  Choi, J, M. Realff, and J. H. Lee, “Dynamic Programming in A Heuristically Restricted State Space: Stochastic Supply Chain Management Application,” AIChE Journal, 52(7), pp. 2473 - 2485, 2006.

 

18.  Lim, H., J. Choi, M. Realff, J. H. Lee, and S. Park, “Development of Novel Decoking Scheduling Strategies for an Industrial Naptha Cracking Furnace System,” Ind. Eng. Chem. Res., 45 (16), pp 5738 - 5747, 2006.

 

19.  K.M. Polizzi, M. Parikh, C.U. Spencer, I. Matsumura, J.H. Lee, M.J. Realff, and A.S. Bommarius, “Pooling for Improved Screening of Combinatorial Libraries for Directed Evolution” , Biotechnol. Progr,. 22, pp. 961-967, 2006.

 

20.  Lee, J. H. and J. M. Lee, “Approximate Dynamic Programming based Approach to Process Control and Scheduling,” Computers and Chemical Engineering, 30, pp. 1603-1618, 2006.

 

21.  Gupta, M. and J. H. Lee, “Robust Repetitive Model Predictive Control,” Journal of Process Control, 16(6), 545-555, 2006.

 

22.  Dubey, A., A. Butte, B. Olle, M. Realff, J. H. Lee, J. Schork, and L. E. Kizer, “Modeling and Inferential Control of the Batch Acetylation of Cellulose using Support Vector Regression,” AIChE Journal, 52(6), pp. 2149-2160, 2006.

 

23.  Dubey, A., M. J. Realff, J. H. Lee, and A. Bommarius, “Identifying the Interacting Positions of a Protein using Boolean learning and Support Vector Machines,” Computational Biology and Chemistry, 30(4), pp. 268-279, 2006.

 

24.  Lee, J. M. and J. H. Lee, “Choice of Approximator and Design of Penalty Function for an Approximate Dynamic Programming based Control Approach,” Journal of Process Control, 16, 135-156, 2006.

 

25.  Polizzi, K. M., C. U. Spencer, A. Dubey, I. Matsumura, J. H. Lee, M. J. Realff, A. Bommarius, “Pooling for Improved Directed Evolution,” Journal of Biomolecular Screening, 10(8), pp.856-864, 2005.

 

26.  Kaisare, N., J. H. Lee, and A. Fedorov, “Operability and Sensitivity Analysis of a Reverse-Flow Microreactor,” Ind. Eng. Chem. Res., 44, pp.8323-8333 2005.

 

27.  Choi, J., M. J. Realff, and J. H. Lee, “Stochastic Dynamic Programming with Localized Cost-To-Go Approximators: Application to Large-Scale Supply Chain Management Under Demand Uncertainty,” Trans. IChemE, Part A., Chemical Engineering Research and Design, 83(A8): 1-7, 2005.

 

28.  Peroni, C. V., N. Kaisare, J. H. Lee, “Optimal control of a fed batch bioreactor using simulation-based,” IEEE Transactions in Control Systems Technology, 13, pp. 786-790, 2005.

 

29.  Lee, J. M. and J. H. Lee, “Approximate Dynamic Programming Based Approaches for Input-Output Data-Driven Control of Nonlinear Processes” Automatica, 41, 1281-1288, 2005.

 

30.  Kaisare, N., J. H. Lee, and A. Fedorov, “Hydrogen Generation in a Reverse-Flow Microreactor: 2. Simulation and Analysis,” AIChE Journal, 51, 2265-2272, 2005.

 

31.  Kaisare, N., J. H. Lee, and A. Fedorov, “Hydrogen Generation in a Reverse-Flow Microreactor: 1. Model Formulation and Scaling,” AIChE Journal, 51, 2254-2264, 2005.

 

32.  Dubey. A., M. Realff, J. H. Lee, and A. Bommarius, “Support Vector Machines for Learning to Identify the Critical Positions of a Protein,” Journal of Theoretical Biology, 234, 351-361, 2005.

 

33.  Lee, J. M. and J. H. Lee, “Approximate Dynamic Programming Strategies for Process Control: A Review and Future Directions,” International Journal of Control, Automation, and Systems, 2:3, pp. 263-278, 2004.

 

34.  Lee, J. H., J. M. Lee, T. Tosukhowong, and J. Lu, “An Introduction to a Dynamic Plant-wide Optimization Strategy for an Integrated Plant,” Computers and Chemical Engineering, 29:1, pp 199-208, 2004.

 

35.  Lee, J. M. and J. H. Lee, “Simulation-Based Learning of Cost-To-Go for Control of Nonlinear Processes,” Korean Journal of Chemical Engineering (SCI journal in English)}, 21:2, pp. 338-344, 2004.

 

36.  Pan, Y., C. K. Yoo, and J. H. Lee, “Process Monitoring for Continuous Process with Periodic Characteristics,” Journal of Chemometrics, 18:2, pp. 69-45, 2004.

 

37.  Choi, J, M. J. Realff, and J. H. Lee, “An Algorithmic Framework for Improving Heuristics Part I: A Deterministic Discount Coupon Travelling Salesman Problem,” Computers and Chem. Engr., 28, pp. 1285-1296, 2004.

 

38.  Choi, J, J. H. Lee, and M. J. Realff, “An Algorithmic Framework for Improving Heuristics Part II: A New Version of The Stochastic Travelling Salesman Problem,” Computers and Chem. Engr., 28, pp. 1297-1307, 2004.

 

39.  Choi, J, M. J. Realff, and J. H. Lee, “Dynamic Programming in A Heuristically Confined State Space: A Stochastic Resource Constrained Project Scheduling Application,” Computers and Chem. Engr., 8, pp. 1039-1058,2004.

 

40.  Dorsey, A. W. and J. H. Lee, “Monitoring of Batch Processes Through State-Space Models,” AIChE Journal, 50:6, pp.1198-1210, 2004.

 

41.  Lee, J. H., A. W. Dorsey and S. A. Russell, “Inferential Product Quality Control of A Multi-Stage Batch Plant,” AIChE Journal, 50:1, pp. 136-148, 2004.

 

42.  Erdem, G., S. Abel, M. Morari, M. Mazzotti, M. Morbidelli, and J. H. Lee, “Automatic Control of Simulated Moving Bed,” Ind. Eng. Chem. Res., 43, pp. 405-421, 2004.

 

43.  Kaisare, N., J. M. Lee, and J. H. Lee, “Simulation Based Strategy for Nonlinear Optimal Control: Application To A Microbial Cell Reactor,” International Journal of Nonlinear and Robust Control, 13, pp. 347-363, 2003.

 

44.  Lee, K. S. and J. H. Lee, “Iterative Learning Control Based Batch Process Control Technique for Integrated Control of End Product Properties and Transient Profiles of Process Variables,” Journal of Process Control, 13, pp. 607--621, 2003.

 

45.  Dorsey, A. W. and J. H. Lee, “An Extended Kalman Filter Formulation for Systematic Transfer of Information From Batch to Batch,” Ind. Eng. Chem. Res., 42, pp.1753--1760, 2003.

 

46.  Lee, K. S., H. J. Ahn, D. R. Yang, and J. H. Lee, “Experimental Application of A Quadratic Optimal Iterative Learning Control Method for Control of Wafer Temperature Uniformity in Rapid Thermal Processing,” IEEE Transactions on Semiconductors Manufacturing, 16, pp. 36-44, 2003.

 

47.  Pan, Y. and J. H. Lee, “Identification and Control of Processes with Periodic Operation or Disturbances,” Ind. Eng. Chem. Res., 42, pp. 1938--1947, 2003.

 

48.  Dorsey, A. W. and J. H. Lee “Building Inferential Prediction Models of Batch Processes Using Subspace Identification,” Journal of Process Control, 13, pp. 397-406, 2003.

 

49.  Pan, Y. and J. H. Lee, “Recursive Data-Based Prediction and Control of Product Quality for a PMMA Batch Process,” Chemical Engineering Science, 58, pp.3215--3221, 2003.

 

50.  Sung, S. W. and J. H. Lee, “Pseudo-Random Binary Sequence Design for Finite Impulse Response Identification,” Control Engineering Practice, 11, pp. 935-947, 2003.

 

51.  Lee, K. W., J. H. Lee, D. R. Yang, and A. Mahoney, “Integrated Run-to-Run and On-Line Model-Based Control of Particle Size Distribution for A Semi-Batch Precipitation Reactor,” Computers and Chemical Engineering, 26, pp. 1117-1131, 2002.

 

52.  Robertson, D. G. and J. H. Lee, “On the Use of Constraints in Least Squares Estimation and Control,” Automatica, 38, pp. 1113-1123, 2002.

 

53.  Cooley, B. and J. H. Lee, “Control-Relevant Experiment Design,” Automatica, 37, pp. 273-281, 2001.

 

54.  K. S., J. Lee, I. Chin, J. Choi and J. H. Lee, “Control of Wafer Temperature Uniformity in Rapid Thermal Processing Using an Optimal Iterative Learning Control Technique,” Industrial and Engineering Chemistry Research, 40, 1661-1672, 2001.

 

55.  Y. Pan, S. W. Sung, and J. H. Lee, “Nonlinear System Identification Using Feedback Neural Networks and Prediction Error Minimization,” Control Engineering Practice, 9, 859-867, 2001.

 

56.  J. S. Lee, K. S. Lee, J. H. Lee, and S. W. Park, “An On-Line Batch Span Minimization and Quality Control Strategy," Control Engineering Practice, 9, 901-909, 2001.

 

57.  Rao, J. B. Rawlings, and J. H. Lee, “Stability of Constrained Linear Moving Horizon Estimation,” Automatica, 37, 1619-1628, 2001.

 

58.  P. Kesavan and J. H. Lee, “A Set-Based Approach to Detection and Isolation of Faults in Multivariable Systems,” Computers and Chemical Engineering, 25, 925—940, 2001.

 

59.  J. H. Lee, S. Natarajan, and K. S. Lee, “Model Based Predictive Control Approach to Repetitive Control of Continuous Processes with Periodic Operations,” Journal of Process Control, 11, 195—208, 2001.

 

60.  Kesavan, P. and J. H. Lee, “Selective, Intermittent Adaptive Control of Processes Subject to Large and Infrequent Changes,” Chemical Engineering Science, 55, pp. 5471-5483, 2000.

 

61.  Chikkula, Y. and J. H. Lee, “Robust Adaptive Predictive Control of Nonlinear Processes Using Input-Output Models,” Ind. Eng. Chem. Res., 39, pp. 2010-2023, 2000.

 

62.  Lee, K. S. and J. H. Lee, “Convergence of Constrained Model-Based Predictive Control Technique for Batch Processes," IEEE Transactions on Automatic Control, 45, pp. 1928-1932, 2000.

 

63.  Chin, I. S., K. S. Lee and J. H. Lee, “A Technique for Integrated Quality Control, Profile Control and Contstraint Handling for Batch Processes,” Ind. Eng. Chem. Res., 39, pp. 693-, 2000.

 

64.  Lee, J. H. and J. Xiao, “Use of Two-Stage Optimization in Model Predictive Control of Stable and Integrating Systems,” Computers and Chemical Engineering, 24, pp. 1591-1596, 2000.

 

65.  Natarajan, S. and J. H. Lee, “Repetitive Model Predictive Control Applied to A Simulated Moving Bed Chromatography System,” Computers and Chemical Engineering, 24, pp. 1127-1133, 2000.

 

66.  Chae, D. C., I. S. Chin, K. S. Lee, H. J. Rho, H. K. Rhee, and J. H. Lee, “Integrated Quality and Tracking Control of A Batch PMMA Reactor Using a QBMPC Technique,” Computers and Chemical Engineering, 24, pp. 953-958, 2000.

 

67.  Amirthalingam, R. and J. H. Lee, “A Two Step Procedure for Data-Based Modeling for Inferential Predictive Control System Design,” AIChE Journal, 46, pp. 1974-1988, 2000.

 

68.  Lee, J. H., K. S. Lee and W. C. Kim “Model-Based Iterative Learning Control with a Quadratic Criterion for Time-Varying Linear Systems,” Automatica, 36, pp. 641--657, 2000.

 

69.  Lee, Y., J. H. Lee and S. W. Park, “On Interfacing Model Predictive Controllers with Low-Level Loops,” Ind. Eng. Chem. Res., 39, pp. 92-102, 2000.

 

70.  Lee, K. S., I. S. Chin, H. J. Lee, and J. H. Lee, “Model Predictive Control Technique Combined with Iterative Learning for Batch Processes,” AIChE J., 45, pp. 2175-2187, 1999.

 

71.  Lee, J. H. and B. Cooley, “Min-Max Predictive Control Technique for A Linear State-Space Systems with A Bounded Set of Input Matrices,” Automatica, 36, pp. 463-473, 2000.

 

72.  Kesavan, P., J. H. Lee and A. Krishnagopalan, “PLS-based Control of Batch Pulp Digesters,” invited to a special issue in Journal of Process Control, 10, pp. 229-236, 2000.

 

73.  Russell, S., D. G. Robertson, J. H. Lee and B. Ogunnaike, “Model-Based Quality Monitoring of Batch and Semi-Batch Processes,” Journal of Process Control, 10, pp. 317-332, 2000.

 

74.  Morari, M. and J. H. Lee, “Model Predictive Control : Past, Present and Future,” Computers and Chemical Engineering, 23, pp. 667-682 1999.

 

75.  Amirthalingam, R. and J. H. Lee, “Subspace Identification Based Inferential Control Applied to A Continuous Pulp Digester,” Journal of Process Control, 9, pp. 397-406, 1998.

 

76.  Chin, I. S. Lee, and J. H. Lee, “A Model Predictive Control Technique for Batch and Semi-Batch Processes Combined with Quality Control,” Journal of the Korean Institute of Chemical Engineers, in Korean, 37, pp. 290-296, 1999.

 

77.  Chikkula, Y., J. H. Lee and B. Ogunnaike, “Dynamic Scheduled Model Predictive Control Using Hinging Hyperplane Models,” AIChE Journal, 44, pp. 2658-2674, 1998.

 

78.  Russell, S., P. Kesavan, J. H. Lee and B. Ogunnaike, “Recursive Data-Based Prediction and Control of Product Quality for Batch and Semi-Batch Processes Applied to a Nylon 6,6 Autoclave,” AIChE Journal, 44, pp. 2442-2564, 1998.

 

79.  Russell, S., D. G. Robertson, J. H. Lee and B. Ogunnaike, “Control of Product Quality for Batch Nylon 6,6 Autoclave,” Chemical Engineering Science, 53, pp 3685-3702, 1998.

 

80.  Lee, J. H. and B. Cooley, “Optimal Feedback Control Strategies for State-Space Systems with Stochastic Parameters,” IEEE Trans. Autom. Control, 43, pp. 1469-1475, 1998.

 

81.  Cooley, B. and J. H. Lee, “Integrated Identification and Robust Control,” Journal of Process Control, 8, pp. 431-440, 1998.

 

82.  Lee, J. H. and Z. Yu, “Worst-Case Formulation of Model Predictive Control for Systems with Bounded Parameters,” Automatica, 33, pp. 763-781, 1997.

 

83.  Robertson, D.G. and J. H. Lee, “A Method for The Estimation of Infrequent Abrupt Changes in Nonlinear Systems,” Automatica, 34, pp. 261-270, 1998.

 

84.  Kesavan, P. and J. H. Lee, “Diagnostic Tools for Multivariable Model-Based Control Systems,” Ind. Eng. Chem. Res., 36, pp. 2725-2738, 1997.

 

85.  Amirthalingham, R. and J. H. Lee, “Subspace Identification Based Inferential Control of A Continuous Pulp Digester,” Computers and Chemical Engineering, 21, S1143-S1148, 1997.

 

86.  Lee, K. S. and J. H. Lee, “Model Predictive Control for Nonlinear Batch Processes with Asymptotically Perfect Tracking,” Computers and Chemical Engineering, 21, S873-S880, 1997.

 

87.  Datta, A. K., J. H. Lee and G. Krishnagopalan, “Reducing Batch-To-Batch Variability of Pulp Quality through Model-Based Estimation,” Pulp and Paper Canada, 98:4, pp.46-49, 1997.

 

88.  Robertson, D. G., J. H. Lee and J. B. Rawlings, “A Moving Horizon Based Approach for Least Squares Estimation,” AIChE Journal, 42, pp. 2209-2224, 1996.

 

89.  Lee, J. H., P. Kesavan and M. Morari, “Control Structure Selection and Control System Design for a High-Purity Distillation Column,” IEEE Trans. on Control Sys. Technology, 5, 402-416, 1997.

 

90.  Li, W. and J. H. Lee, “Frequency-Domain Closed-Loop Identification of Multi-Variable Systems for Feedback Control,” AIChE Journal, 42, pp. 2813-2827, 1996.

 

91.  Lee, K. S., W. C. Kim, and J. H. Lee, “Model-Based Iterative Learning Control with Quadratic Criterion for Linear Batch Processes,” Journal of Control, Automation and Systems Engineering, 3, pp. 148-157, 1996.

 

92.  Robertson, D. G. and J. H. Lee, “A Least Squares Formulation for State Estimation,” Journal of Process Control, 5, pp.291-299, 1995.

 

93.  Li, W. and J. H. Lee, “Control-Relevant Identification of Ill-Conditioned Processes,” Comp. and Chem. Engr., 20, pp. 1023-1042, 1996.

 

94.  Lee, J. H., Y. Chikkula, Z. Yu and J. Kantor, “Improving Computational Effciency of a Model Predictive Control Algorithm for Multi-Time-Scale Systems Using Wavelet Transformation,” Int. J. of Control, 61, pp.859-883, 1995.

 

95.  Ricker, N. L. and J. H. Lee, “Nonlinear Modelling and State Estimation for the Tennessee Eastman Challenge Process,” Comp. and Chem. Engr., 19, pp.983-1005, 1995.

 

96.  Ricker, N. L. and J. H. Lee, “Nonlinear Model Predictive Control of the Tennessee Eastman Challenge Process,” Comp. and Chem. Engr., 19, pp.961-981, 1995.

 

97.  Lee, J. H. and N. L. Ricker, “Extended Kalman Filter Based Model Predictive Control,” Ind. Eng. Chem. Res., pp.1530-1541, 1994.

 

98.  Yu, Z. H., W. Li, J. H. Lee and M. Morari, “State Estimation Based Model Predictive Control Applied to Shell Control Problem: A Case Study,” Chemical Engineering Science, 18, pp.15-37, 1994.

 

99.  Lee, J. H. and A. K. Datta, “Nonlinear Inferential Control of Batch Pulp Digester,” AIChE Journal, 40, pp. 50-64, 1994.

 

100. Lee, J. H. and Z. H. Yu, “Tuning of Model Predictive Controllers for Robust Performance,” Comp. and Chem. Engr., 18, pp.15-37, 1994.

 

101. Lee, J. H., R. B. Braatz, M. Morari and A. Packard, “Screening Tools for Robust Control Structure Selection,” Automatica, 31, pp.229-235,
        1995.

 

102.Braatz, R. D., J. H. Lee and M. Morari, “Screening Plant Designs and Control Structures for Uncertain Systems,” Comp. and Chem. Engr., 20, pp.   
        463-468, 1996.

 

103. Lee, J. H., M. Morari and C. E. Garcia, “State-Space Interpretation of Model Predictive Control,” Automatica, 30, pp.707-717, 1994.

 

104. Hovd, M., J. H. Lee, M. Morari and S. Skogestad, “Truncated Step Response Models for Model Predictive Control,” J. of Process Control, 3,
         pp.67-73, 1994.

 

105. Lundstrom, P., J. H. Lee, M. Morari and S. Skogestad, “Limitations of Dynamic Matrix Control,” Comp. and Chem. Engr., pp. 409-421, 1995.

 

106. Lee, J. H., M. S. Gelormino and M. Morari, “Model Predictive Control of Multi-Rate Sampled Data Systems,” Int. J. of Control, 55, pp.153-191,
        1992.

 

10.7.Lee, J. H. and M. Morari, “Robust Inferential Control of Multi-Rate Sampled- Data Systems,” Chemical Engineering Science, 47, pp.865-885,
        1992.

 

108.Lee, J. H. and M. Morari, “Robust Measurement Selection,” Automatica, 27, pp.519-527, 1991.

 

 

posti01.gifOther Publications: Refereed Conference Proceeding Papers

1.      Wong, W.C. and J. H. Lee, “Control of a Fermentor in the Presence of Abruptly Changing Feed Conditions,” Proc. of ADCONIP, Jasper, Alberta, Canada, 2008.

 

2.      Agrawal, R., J. H. Lee, and M. J. Realff, “Dynamic Sensor Network Design in Chemical Plants for Fault Detection and Quality Control,” Proc. of ADCONIP,  Jasper, Alberta, Canada, 2008.

 

3.      Wong, W. C. and J. H. Lee, “A Reinforcement Learning-Based Scheme for Adaptive Optimal Control of Linear Stochastic Systems,” Proc. of American Control Conference, pp. 57-62, Seattle, WA, 2008.

 

4.      Agrawal, R., J. H. Lee, and M. J. Realff, “Information Flow Based Decomposition of Decision-Making Problems Involving Partial Observability,” Proc. of IFAC World Congress, Seoul, Korea, 2008.

 

5.      Wong, W. and J. H. Lee, “A Hidden Markov Disturbance Model for Offset-Free Linear MPC,” Proc. of IFAC World Congress, Seoul, Korea, 2008.

 

6.      Yun, W., K. S. Lee, and J. H. Lee, “Repetitive control of SMB Process based on Successive Linearization of Cubic-Spline Collocation Model,” Proc. of IFAC World Congress, Seoul, Korea, 2008.

 

7.      Pratikakis, N., M. J. Realff, and J. H. Lee, “The Memory And Computational Scaling Effect Of An Approximate Dynamic Programming Approach On The Shortest Path Problem,” Proc. of FOCAPO, Cambridge, MA, 2008.

 

8.      Agrawal, R., J. H. Lee and M. J. Realff, “Planning and Scheduling with Perishable Resources,” Proc. of FOCAPO, Cambridge, MA, 2008.

 

9.      Agrawal, R., J. H. Lee, and M. J. Realff, "Complex Decision Making at a Re-entrant Flow Station Under Uncertainty," in Proc. of the 8th International Symposium on Dynamics and Control of Process Systems Cancun, Mexico, 2007.

 

10.  Wong, W.C. and J. H. Lee, "Disturbance Modeling for Process Control via Hidden Markov Models," in Proc. of the8th International Symposium on Dynamics and Control of Process Systems Cancun, Mexico, 2007.

 

11.  Pratikakis, N. E., J. H. Lee, and M. J. Realff, "Accounting Risk in Multistage Stochastic Problems Using Approximate Dynamic Programming," in Proc. of the 8th International Symposium on Dynamics and Control of Process Systems, Cancun, Mexico, 2007.

 

12.  Lee, J. H. and K. S. Lee, “Iterative Learning Control,” in Proc. Of IFAC ADCHEM 2006, Gramado, Brazil, April, 2006.

 

13.  Rusli, E. J. H. Lee and R. D. Braatz, “Optimal Distributional Control of Crystal Size and Shape,” Proc. of the Fifth World Congress on Particle Technology, Orlando, FL, April, 2006.

 

14.  Kiew, C. M., J. H. Lee, A. Tay, “Robust Real-Time Thin Film Thickness Estimation.” Proc. Of ASMC 2006, Boston, MA, 2006.

 

15.  Lee, G. and J. H. Lee, “Fault Diagnosis Using the Hybrid Method of SDF and PLS with Time Delay: The Pulp Mill Process,” Proc. Of ESCAPE-16/ PSE2006, Garmisch-Partenkirchen, Germany.

 

16.  Pratikakis, N. and J. H. Lee, “A Real Time Adaptive Dynamic Programming Approach For Planning and Scheduling” Proc. Of ESCAPE-16/ PSE2006, Garmisch-Partenkirchen, Germany.

 

17.  Lee, J. H. and J. M. Lee, “Approximate Dynamic Programming Applied to Process Scheduling and Control,” in Proc. Of CPC-VII, Lake Louise, Canada, January, 2006.

 

18.  Kaisare, N., J. M. Lee, and J. H. Lee, “Empirical Results on Convergence and Exploration in Approximate Policy Iteration,” to appear in the Proc. Of IFAC World Congress, Prague, CZ, 2005. 

 

19.  Lee, J. M. and J. H. Lee, “Approximate Dynamic Programming Strategy for Dual Adaptive Control,” to appear in the Proc. Of IFAC World Congress, Prague, CZ, 2005. 

 

20.  Tosukhowong, T. and J. H. Lee, “Real-Time Economic Optimization for an Integrated Plant via a Dynamic Optimization Scheme”, Proc. of 2004 American Control Conference, vol. 1, pp. 233-238, Boston, MA, 2004.

 

21.  Lee, J. M. and J. H. Lee, “Control of a Nonlinear Process Based on an Empirical Model using an Approximate Dynamic Programming Scheme,” Proc. of 2004 American Control Conference, Boston, MA, 2004.

 

22.  Choi, J. and M. J. Realff and J. H. Lee, “Simulation Based Approach for Improving Heuristics in Stochastic Resource-Constrained Project Scheduling Problem,” Proc. of PSE2003 (International Symposium on Process Systems Engineering), Kunming, P.R. China, 2004.

 

23.  J. H., J. M. Lee, T. Tosukhowong and J. Lu, “On Interfacing Model Predictive Controllers with a Real-Time Optimizer,” Proc. of PSE2003, Kunming, China, 2004.

 

24.  Pan, Y. and J. H. Lee, “Subspace identification based method for building a long-range prediction model,” IFAC ADCHEM 2003, Hong Kong, China, 2004.

 

25.  Lee, J. M. and J. H. Lee, “Simulation-Based Dual Model Controller for Nonlinear Processes,” contributed paper at IFAC ADCHEM 2003, Hong Kong, China, 2004.

 

26.  Realff, M.J., J. Choi, J.H. Lee, “Heuristically Confined Dynamic Programming,” INFORMS Annual Meeting, Denver, 2004.

 

27.  Pan, Y. and J. H. Lee, “Modified subspace identification method for building a long-range prediction model for inferential control,” Proc. of IFAC Symposium on System Identification, Rotterdam, Netherlands, pp1679-1684, 2003.

 

28.  J. H. Lee and N. Kaisare, “Modified subspace identification method for building a long-range prediction model for inferential control,” Proc. of IFAC Symposium on System Identification, Rotterdam, Netherlands, pp1679-1684, 2003.

 

29.  Yang, D. R. and J. H. Lee, “Java Applet Modules for Undergraduate Process Control Education,” In the Proceedings of American Control Conference, Denver, CO, pp. 694-699, June 2003

 

30.  Ramaswamy, S. and J. H. Lee, “Robust Forecasts and Run-To-Run Control for processes with Linear Drifts,” In the Proceedings of American Control Conference, Denver, CO, pp. 3986-3991, June 2003

 

31.  Lee, K. S., H. Ahn, I. S. Chin, J. H. Lee and D. R. Yang, " Optimal Iterative Learning Control of Wafer Temperature Uniformity in Rapid Thermal Processing, " Proc. of IFAC World Congress on Automatic Control, Barcelona, Spain, 2002.

 

32.  Kaisare, N. S., J. M. Lee and J. H. Lee, "Simulation-Based Optimization for Nonlinear Optimal Control, " Proc. of IFAC World Congress on Automatic Control, Barcelona, Spain, 2002. 

 

33.  Lee, K., J. H. Lee, M. Fujiwara, D. Ma and R. D. Braatz "Run-to-Run Control of Multidimensional Crystal Size Distribution in a Batch Crystallizer," Proc. of 2002 American Control Conference, Anchorage, Alaska, pp. 1013- 1018, 2002. 

 

34.  Pan, Y., C. Yoo, J. H. Lee and I. Lee, "Process Monitoring of Continuous Processes with Periodic Operation Patterns," Proc. of 2002 American Control Conference, Anchorage, Alaska, pp. 3882- 3887, 2002.

 

35.  K. S. Lee and J. H. Lee, “A Generic Framework for Integrated Quality and Profile Conrol for Industrial Batch Processes,” Proc. of IFAC DYCOPS-6 Conference, Jejudo Island, Korea, pp. 59-70, 2001. 

 

36.  J. M. Lee and J. H. Lee, “Neuro-Dynamic Programming Method for MPC,” Proc. of IFAC DYCOPS-6 Conference, Jejudo Island, Korea, pp. 157-162, 2001.

 

37.  A. W. Dorsey and J. H. Lee, “Monitoring of Batch Processes through State-Space Models,” Proc. of IFAC DYCOPS-6 Conference, Jejudo Island, Korea, pp. 245-250, 2001.

 

38.  K. S. Lee, D. R. Yang, J. H. Lee and A. W. Mahoney, “Particle Size Distribution Control of a Semi-Batch Reactor Using Model Predictive Control,” Proc. of IFAC DYCOPS-6 Conference, Jejudo Island, Korea, pp. 365-370, 2001.

 

39.  S. W. Sung and J. H. Lee, "Pseudo-Random Binary Sequence Design for Finite Impulse Response Identification," Proc. of IFAC DYCOPS-6 Conference, Jejudo Island, Korea, pp. 385-390, 2001.

 

40.  N. Kaisare, R. Amirthalingam, and J. H. Lee, "Inferential Kappa Number Control in A Two-Vessel Kamyr Digester," Proc. of Pulp Digester Modeling and Control Workshop, Annapolis, MD, 2001.

 

41.  A. W. Dorsey, J. H. Lee, V. Saucedo, R. Hodges, and G. Krishnagopalan, “Production of Low-Lignin, High-Strength, and Easily Bleachable Pulp through Sensor Development, Process Modification, Optimization and Control,” Proc. of Pulp Digester Modeling and Control Workshop, Annapolis, MD, 2001.

 

42.  Pan, Y. and J. H. Lee, “Recursive Data-Based Prediction and Control of Product Quality for a PMMA Batch Process,” Proc. of American Control Conference, Chicago, IL, pp. 1747--1751, 2000.

 

43.  Lee, J. H. and Y. Samyudia, “LMI-Based Control-Relevant Optimal Design of Test Signals for Multivariable System Identification,” Proc. of American Control Conference, Chicago, IL, pp. 3224-3228, 2000.

 

44.  Samyudia, Y. and J. H. Lee, “A Two-Step Approach to Iterative, Control-Relevant Design of Test Input Signals for Multivariable System Identification,” Proc. of IFAC SYS-ID Conference, Santa Barbara, CA, 2000.

 

45.  Amirthalingam, R., J. H. Lee, “Inferential Control of A Continuous Pulp Digester In the Presence of Chip Level Variations,” Proc. of Control System 2000, Victoria Island, Canada, 2000.

 

46.  Pan, Y., S. W. Sung, and J. H. Lee, “Nonlinear System Identification Using Feedback Neural Networks and Prediction Error Minimization,” Proc. of IFAC ADCHEM 2000 Conference, Pisa, Italy, 2000.

 

47.  Lee, K. S., J. Lee, I. Chin, J. Choi, and J. H. Lee, “Control of Wafer Temperature Uniformity in Rapid Thermal Processing Using an Optimal Iterative Learning Control Technique,” Proc. of IFAC ADCHEM 2000 Conference, Pisa, Italy, 2000.

 

48.  Lee, J. S., K. S. Lee, J. H. Lee, and S. W. Park, “An On-Line Batch Span Minimization and Quality Control Strategy,” Proc. of IFAC ADCHEM 2000 Conference, Pisa, Italy, 2000.

 

49.  Lee, J. H., Y. Pan and S. W. Sung, “A Numerical Projection Based Approach to Nonlinear Model Reduction and Identification,” Proc. of American Control Conference, pp. 1568-1572, San Diego, CA, 1999.

 

50.  Dorsey, A. W. and J. H. Lee, “Subspace Identification for Batch Processes,” Proc. of American Control Conference, pp. 2538-2542, San Diego, CA, 1999.

 

51.  Rao, C. V., J. B. Rawlings and J. H. Lee, “Stability of Constrained Linear Moving Horizon Estimation,” Proc. of American Control Conference, pp. 3387-3391, San Diego, CA, 1999.

 

52.  Cooley, B. and J. H. Lee, “Control-Relevant Experiment Design: A Plant-Friendly, LMI-based Approach,” Proc. of American Control Conference, Philadelphia, PA, 1998.

 

53.  Lee, J. H., R. Amirthalingham, Y. Lee and K. S. Lee, “Improved Disturbance Estimation for Dynamic Matrix Control,” Proc. of American Control Conference, Philadelphia, PA, 1998.

 

54.   Lee, J. H., “Modeling for Nonlinear Model Predictive Control: Requirements, Current Status and Future Research Needs,” invited plenary paper, Proc. Of Nonlinear MPC Workshop, Ascona, Switzerland, 1998.

 

55.  Kesavan, P., J. H. Lee and A. Krishnagopalan, “PLS-based Control of Batch Pulp Digesters,” Proc. of DyCops'98, Corfu, Greece, 1998.

 

56.  Lee, J. H. and B. Cooley, “Stable Min-Max Control of State-Space Systems with Bounded Input Matrix,” Proc. of American Control Conference, Albuquerque, New Mexico, pp. 2945-2949, 1997.

 

57.  Chikkula, Y. and J. H. Lee, “Test Input Signal Design for Nonlinear System Identi¯cation,” Proc. of American Control Conference, pp. 3037-3041, Albuquerque, New Mexico, 1997.

 

58.  Lee, J. H., “Model Predictive Control in Process Industry,” invited paper, Proc. of Asian Control Conference, Seoul, Korea, 1997.

 

59.  Lee, K. S. and J. H. Lee, “Constrained Model-Based Predictive Control Com- bined with Iterative Learning for Batch and Repetitive Processes,” Proc. Of Asian Control Conference, Seoul, Korea, 1997.

 

60.  Lee, J. H., “Control-Relevant Experiment Design for Multivariable Systems,” keynote paper, Proc. of Korean Automatic Control Conference, Seoul, Korea, 1997.

 

61.  Lee, Y., J. H. Lee and S. W. Park, “On Interfacing Model Predictive Controllers with Low-Level Loops,” Proc. of Korean Control Conference, Seoul, Korea, 1997.

 

62.  Cooley, B. and J. H. Lee, “Integrated Identification and Robust Control of Multivariable Systems,” Proc. of ADCHEM' 97, pp. 43-48, Banff, Canada, 1997.

 

63.  Morari, M. and J. H. Lee, “Model Predictive Control: Past, Present and Future,” invited plenary paper, Proc. of PSE/ESCAPE' 97, Trondheim, Norway, 1997.

 

64.  Datta, A. K., J. H. Lee and G. Krishnagopalan, “Reducing Batch-To-Batch Variability of Pulp Quality through Model-Based Estimation,” Proc. of Control Systems' 96, pp. 500-504, Halifax, Nova Scotia, 1996.

 

65.  Lee, J. H. and S. A. Russell, “Issues in the Application of Nonlinear Estimation for Improving Product Quality Control in Batch and Semi-Batch Processes,” Proc. of IFAC World Congress, San Francisco, CA, 1996.

 

66.  Lee, J. H. and B. Cooley, “Robust Model Predictive Control of Multi-Variable Systems Using Input / Output Models with Stochastic Parameters,” Proc. of American Control Conf., pp.3694-3698, Seattle, WA, 1995.

 

67.  Robertson, D. G., P. Kesavan and J. H. Lee, “Detection and Estimation of Randomly Occurring Deterministic Disturbances,” Proc. of American Control Conf., pp.4453-4457, Seattle, WA, 1995.

 

68.  Chikkula. Y., J. H. Lee and B. Ogunnaike, “Robust Model Predictive Control of Nonlinear Systems Using Input-Output Models,” Proc. of American Control Conf., pp.2205-2209, Seattle, WA, 1995.

 

69.  Robertson, D. G., S. A. Russell, J. H. Lee and B. Ogunnaike, “Control of Batch Condensation Polymerization Reactor,” Proc. of American Control Conf., pp.1746-1750, Seattle, WA, 1995.

 

70.  Datta, A. K., J. H. Lee, S. Vanchinathan and G. A. Krishnagopalan, “Model Based Monitoring and Control of Batch Pulp Digesters,” Proc. of American Control Conference, pp. 500-504, Baltimore, MA, 1994.

 

71.  Braatz, R. D., J. H. Lee and M. Morari, “Screening Plant Designs and Control Structures for Uncertain Systems,” Proc. of IFAC Workshop on IPDC, pp. 242-247, Baltimore, MA, 1994.

 

72.  Robertson, D. G. and J. H. Lee, “Least Squares Formulation of State Estimation,” Proc. of ADCHEM, pp. 489-494, Kyoto, Japan, 1994.

 

73.  Lee, J. H. and Z. H. Yu, “Mini-Max Formulation of Robust Receding Horizon Control,” Proc. of SYS-ID, Copenhagen, Denmark, 1994.

 

74.  Lee, J. H. and N. L. Ricker, “Multi-Step Extended Kalman Filter Based Nonlinear Model Predictive Control,” Proc. of American Control Conference, pp. 1895-1899, San Francisco, CA, 1993.

 

75.  Robertson, D. G. and J. H. Lee, “Integrated State Estimation, Fault Detection / Diagnosis,” Proc. of American Control Conference, pp. 389-393, San Francisco, CA, 1993.

 

76.  Muske, K. R., J. B. Rawlings and J. H. Lee, “Receding Horizon Recursive State Estimation,” Proc. of American Control Conference, pp.900-904, San Francisco, CA, 1993.

 

77.  Lee, J. H., M. Morari and C. E. Garcia, “State Estimation Based Model Predictive Control with On-Line Robustness Tuning Parameters,” Proc. of American Control Conference, pp. 2373-2378, Boston, MA, 1991.

 

78.  Morari, M. and J. H. Lee, “Model Predictive Control: The Good, The Bad and The Ugly,” Proc. of CPC-IV, pp. 419-444, South Padre Island, TX, 1991.

 

79.  Lundstrom, P., J. H. Lee, M. Morari and S. Skogestad, “Limitations of Dynamic Matrix Control,” Proc. of European Control Conference, pp. 1839-1844, Grenoble, France, 1991.

 

80.  Hovd, M., J. H. Lee, M. Morari and S. Skogestad, “Modelling Requirements for Model Predictive Control,” Proc. of European Control Conference, pp. 2428-2433, Grenoble, France, 1991.

 

81.  Lee, J. H. and M. Morari, “Robust Control Structure Selection and Inferential Control System Design Applied to a High-Purity Distillation Column,” Proc. of IEEE CDC, pp. 2041-2046, Honolulu, Hawaii, 1990.

 

 

Last updated: 1/27/2009