Stochastic and global real time optimization of Tennessee Eastman challenge problem

Engineering Applications of Artificial Intelligence - Tập 21 - Trang 215-228 - 2008
Masoud Golshan1, Mahmoud Reza Pishvaie1, Ramin Bozorgmehry Boozarjomehry1
1Department of Chemical and Petroleum Engineering, Sharif University of Technology, Tehran, Iran

Tài liệu tham khảo

Anonymous, 1998. PROFIT optimizer (DQP) concepts and implementation course notes. Honeywell Training Document. Anonymous, 2002. HYSYS.RTO reference guide. Hyprotech, a subsidiary of Aspen Technology, Inc. Billington, P., Krøger, D., 2000. Verification of the process control system for the Åsgard B mono-ethylene-glycol (MEG) regeneration module using HYSYS.plant, dynamic simulation software.” Hyprotech 2000, Amsterdam, The Netherlands. Downs, 1993, A plant-wide industrial process control problem, Computers and Chemical Engineering, 17, 245, 10.1016/0098-1354(93)80018-I Duvall, 2000, On-line optimization of the Tennessee Eastman challenge problem, Journal of Process Control, 10, 19, 10.1016/S0959-1524(99)00041-4 Forbes, 1996, Design cost: a systematic approach to technology selection for model based real-time optimization, Computers and Chemical Engineering, 20, 717, 10.1016/0098-1354(95)00205-7 Gelb, 1974 Golshan. M., 2005. Real time optimization of chemical processes. Master thesis, Department of Chemical and Petroleum Engineering, Sharif University of Technology, Tehran, Iran. Golshan, 2005, A new approach to real time optimization of the Tennessee Eastman challenge problem, Chemical Engineering Journal, 112, 33, 10.1016/j.cej.2005.06.005 Howell, A., Hanson, K., Dhole, V., Sim, W., 2002. Engineering to business: Optimizing asset utilization through process engineering. www.cepmagazine.org, September, CEP, 54–63. Javari, M.M., 1999. Plant-wide non-linear control of a chemical process. Master thesis, Department of Chemical and Petroleum Engineering, Sharif University of Technology, Tehran, Iran. Jokenhovel, 2003, Dynamic optimization of the Tennessee Eastman process using optcontrolcentre, Computers and Chemical Engineering, 27, 1513, 10.1016/S0098-1354(03)00113-3 Larson, 2001, Self optimizing control of a large scale plant: the Tennessee Eastman process, Industrial and Engineering Chemical Research, 40, 4889, 10.1021/ie000586y Lee, 1994, Extended Kalman filter based non-linear model predictive control, Industrial and Engineering Chemical Research, 33, 1530, 10.1021/ie00030a013 Li, 1998, Heuristic random optimization, Computers and Chemical Engineering, 22, 427, 10.1016/S0098-1354(97)00005-7 McAvoy, 1994, Base control for the Tennessee Eastman problem, Computers and Chemical Engineering, 18, 383, 10.1016/0098-1354(94)88019-0 Nelder, 1965, A simplex method for function minimization, Computer Journal, 7, 308, 10.1093/comjnl/7.4.308 Rao, S.S., 2002. Engineering Optimization, Theory and Practice. New Age International Publishers. Ricker, 1995, Optimal steady state operation of the Tennessee Eastman challenge process, Computers and Chemical Engineering, 19, 949, 10.1016/0098-1354(94)00043-N Ricker, 1995, Nonlinear modeling and state estimation for the Tennessee Eastman challenge process, Computers and Chemical Engineering, 19, 983, 10.1016/0098-1354(94)00113-3