Moonyong Lee
Moonyong Lee
Professor, School of Chemical Engineering, Yeungnam University
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PID controller tuning for desired closed‐loop responses for SI/SO systems
Y Lee, S Park, M Lee, C Brosilow
Aiche journal 44 (1), 106-115, 1998
IMC− PID controller design for improved disturbance rejection of time-delayed processes
M Shamsuzzoha, M Lee
Industrial & Engineering Chemistry Research 46 (7), 2077-2091, 2007
PID controller tuning to obtain desired closed loop responses for cascade control systems
Y Lee, S Park, M Lee
Industrial & engineering chemistry research 37 (5), 1859-1865, 1998
Independent design of multi-loop PI/PID controllers for interacting multivariable processes
TNL Vu, M Lee
Journal of Process control 20 (8), 922-933, 2010
Design optimization of single mixed refrigerant natural gas liquefaction process using the particle swarm paradigm with nonlinear constraints
MS Khan, M Lee
Energy 49, 146-155, 2013
Analytical design of enhanced PID filter controller for integrating and first order unstable processes with time delay
M Shamsuzzoha, M Lee
Chemical Engineering Science 63 (10), 2717-2731, 2008
Knowledge based decision making method for the selection of mixed refrigerant systems for energy efficient LNG processes
MS Khan, S Lee, GP Rangaiah, M Lee
Applied energy 111, 1018-1031, 2013
Design and optimization of natural gas liquefaction and recovery processes for offshore floating liquefied natural gas plants
S Lee, NVD Long, M Lee
Industrial & Engineering Chemistry Research 51 (30), 10021-10030, 2012
Estimation of air dew point temperature using computational intelligence schemes
A Baghban, M Bahadori, J Rozyn, M Lee, A Abbas, A Bahadori, ...
Applied thermal engineering 93, 1043-1052, 2016
Analytical design of multiloop PID controllers for desired closed‐loop responses
M Lee, K Lee, C Kim, J Lee
AIChE Journal 50 (7), 1631-1635, 2004
Determination of oil well production performance using artificial neural network (ANN) linked to the particle swarm optimization (PSO) tool
MA Ahmadi, R Soleimani, M Lee, T Kashiwao, A Bahadori
Petroleum 1 (2), 118-132, 2015
Design of advanced PID controller for enhanced disturbance rejection of second‐order processes with time delay
M Shamsuzzoha, M Lee
AIChE Journal 54 (6), 1526-1536, 2008
A neural network-based local rainfall prediction system using meteorological data on the Internet: A case study using data from the Japan Meteorological Agency
T Kashiwao, K Nakayama, S Ando, K Ikeda, M Lee, A Bahadori
Applied Soft Computing 56, 317-330, 2017
Dividing wall column structure design using response surface methodology
NVD Long, M Lee
Computers & chemical engineering 37, 119-124, 2012
Robust PID tuning for Smith predictor in the presence of model uncertainty
D Lee, M Lee, S Sung, I Lee
Journal of Process Control 9 (1), 79-85, 1999
Techno-economic analysis of potential natural gas liquid (NGL) recovery processes under variations of feed compositions
M Getu, S Mahadzir, NVD Long, M Lee
Chemical Engineering Research and Design 91 (7), 1272-1283, 2013
Optimization of single mixed refrigerant natural gas liquefaction plant with nonlinear programming
MS Khan, S Lee, M Lee
Asia‐Pacific Journal of Chemical Engineering 7, S62-S70, 2012
A new scheme combining neural feedforward control with model‐predictive control
M Lee, S Park
AIChE Journal 38 (2), 193-200, 1992
Comprehensive review of the design optimization of natural gas liquefaction processes: current status and perspectives
MA Qyyum, K Qadeer, M Lee
Industrial & Engineering Chemistry Research 57 (17), 5819-5844, 2017
Design of multi-loop PID controllers based on the generalized IMC-PID method with Mp criterion
TNL Vu, JT Lee, MY Lee
International Journal of Control, Automation, and Systems 5 (2), 212-217, 2007
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