Control of pH neutralization process using simulation based dynamic programming

Korean Journal of Chemical Engineering

Volumn 21, Issue 5, 2004, Pages 942-949

  Kim, Dong Kyu ^a   Lee, Kwang Soon ^b   Yang, Dae Ryook ^a  

^a Korea University   (South Korea)

^b Sogang University   (South Korea)

Author keywords

Constraint on Input Movement; k Nearest Neighbor Method; Neural Network; pH Neutralization Process; The NDP (Neuro Dynamic Programming)

Indexed keywords

APPROXIMATION THEORY; BENCHMARKING; COMPUTER SIMULATION; CONSTRAINT THEORY; NEURAL NETWORKS; NONLINEAR CONTROL SYSTEMS; OPTIMIZATION; PH EFFECTS; TIME VARYING SYSTEMS; VECTORS;

CONSTRAINT ON INPUT MOVEMENT; K-NEAREST NEIGHBOR METHOD; NEURO-DYNAMIC PROGRAMMING (NDP); PH NEUTRALIZATION PROCESS;

DYNAMIC PROGRAMMING;

EID: 10044286133     PISSN: 02561115     EISSN: None     Source Type: Journal    
DOI: 10.1007/BF02705575     Document Type: Article

References (11)

1. Bertsekas, D. P. and Tsitsiklis, J. N., "Neuro-Dynamic Programming," Athena Scientific, Massachusetts (1996).
2. Bryson Jr., A. E., "Dynamic Optimization" Addison-Wesley Longman, Inc., California (1999).
3. Demuth, H. and Beale, M., "MATLAB Neural Network Toolbox Use's Guide Ver 3.0," The Math Works, MA (1998).
4. Gustafsson, T. K. and Waller, K. V., "Nonlinear and Adaptive Control of pH," Ind. Eng. Chem. Res., 31, 2681 (1992).
5. Gutierrez-Osuna, R., "Lecture Note: Introduction to Pattern Recognition," Wright state University (2002).
6. Henson, M. A. and Seborg, D. E., "Adaptive Input-Output Linearization of a pH Neutralization Process," Int. J. Adapt. Control Signal Process, 11, 171 (1997).
7. Henson, M. A. and Seborg, D. E., "Adaptive Nonlinear Control of a pH Neutralization Process," IEEE Trans. on Control Systems Technology, 2, 169 (1994).
8. Kaisare, N. S., Lee, J. M. and Lee, J. H., "Simulation Based Strategy for Nonlinear Optimal Control: Application to a Microbial Cell Reactor," Int. J. Robust Nonlinear Control, 13, 347 (2003).
9. Lee, J. H., "Lecture Note: From Model Predictive Control to Simulation Based Dynamic Programming: A Paradigm Shift," Georgia Institute of Technology (2003).
10. Lee, J. M. and Lee, J. H., "Simulation-Based Learning of Cost-To-Go for Control of Nonlinear Processes," Korean J. Chem. Eng., 21, 338 (2004).
11. Yoo, A., "Experimental Parameter Identification and Control of pH Neutralization Process Based on an Extended Kaiman Filter," Master Thesis, Korea University (2002).