[1] |
Engell S. Feedback control for optimal process operation. Journal of Process Control, 2007, 17(3): 203-219 |
[2] |
Darby M L, Nikolaou M, Jones J, Nicholson D. RTO: an overview and assessment of current practice. Journal of Process Control, 2011, 21(6): 874-884 |
[3] |
Scattolini R. Architectures for distributed and hierarchical model predictive control——a review. Journal of Process Control, 2009, 19(5): 723-731 |
[4] |
Mercangöz M, Doyle F J III. Real-time optimization of the pulp mill benchmark problem. Computers and Chemical Engineering, 2008, 32(4-5): 789-804 |
[5] |
Hasikos J, Sarimveis H, Zervas P L, Markatos N C. Operational optimization and real-time control of fuel-cell systems. Journal of Power Sources, 2009, 193(1): 258-268 |
[6] |
Jäschke J, Skogestad S. NCO tracking and self-optimizing control in the context of real-time optimization. Journal of Process Control, 2011, 21(10): 1407-1416 |
[7] |
Tatjewski P. Advanced control and on-line process optimization in multilayer structures. Annual Reviews in Control, 2008, 32(1): 71-85 |
[8] |
Adetola V, Guay M. Integration of real-time optimization and model predictive control. Journal of Process Control, 2010, 20(2): 125-133 |
[9] |
Alvarez L A, Odloak D. Robust integration of real time optimization with linear model predictive control. Computers and Chemical Engineering, 2010, 34(12): 1937-1944 |
[10] |
Wu M, Cao W H, He C Y, She J H. Integrated intelligent control of gas mixing-and-pressurization process. IEEE Transactions on Control Systems Technology, 2009, 17(1): 68-77 |
[11] |
Bischoff K B, Denn M M, Seinfeld J H, Stephanopoulos G, Chakraborty A, Peppas N, Ying J, Wei J. Advances in Chemical Engineering. vol.26. San Diego: Academic Press, 2001 |
[12] |
Skogestad S. Plantwide control: the search for the self-optimizing control structure. Journal of Process Control, 2000, 10(5): 487-507 |
[13] |
Findeisen W, Bailey F N, Bryds M, Malinawski K, Tatjewski P, Wozniak A. Control and Coordination in Hierarchical Systems. New York: John Wiley, 1980 |
[14] |
Marlin T E, Hrymak A N. Real-time operations optimization of continuous processes. In: Proceedings of the 5th International Conference on Chemical Process Control. New York: American Institute of Chemical Engineers, 1997. 156-164 |
[15] |
Nath R, Alzein Z. On-line dynamic optimization of olefins plants. Computers & Chemical Engineering, 2000, 24(2-7): 533-538 |
[16] |
Hartmann J C M. Distinguish between scheduling and planning models. Hydrocarbon Processing, 1998, 77: 93-100 |
[17] |
Bartusiak R D. NLMPC: a platform for optimal control of feed-or product-flexible manufacturing. Assessment and Future Directions of Nonlinear Model Predictive Control Lecture Notes in Control and Information Sciences. Berlin, Heidelberg: Springer, 2007, 358: 367-381 |
[18] |
Qin S J, Badgewell T A. A survey of industrial model predictive control technology. Control Engineering Practice, 2003, 11(7): 733-764 |
[19] |
Li H X, Guan S P. Hybrid intelligent control strategy. Supervising a DCS-controlled batch process. IEEE Control Systems Magazine, 2001, 21(3): 36-48 |
[20] |
Wang Z J, Wu Q D, Chai T Y. Optimal-setting control for complicated industrial processes and its application study. Control Engineering Practice, 2004, 12(1): 65-74 |
[21] |
Yang C H, Gui W H, Kong L S, Wang Y L. A two-stage intelligent optimization system for the raw slurry preparing process of alumina sintering production. Engineering Applications of Artificial Intelligence, 2009, 22(4-5): 786-795 |
[22] |
Wu M, Xu C H, She J H, Yokoyama R. Intelligent integrated optimization and control system for lead-zinc sintering process. Control Engineering Practice, 2009, 17(2): 280-290 |
[23] |
Zhou P, Chai T Y, Sun J. Intelligence-based supervisory control for optimizing the operation of a DCS-controlled grinding system. IEEE Transactions on Control Systems Technology, 2013, 21(1): 162-175 |
[24] |
Chai Tian-You, Ding Jin-Liang, Wang Hong, Su Chun-Yi. Hybrid intelligent optimal control method for operation of complex industrial processes. Acta Automatica Sinica, 2008, 34(5): 505-515 (柴天佑, 丁进良, 王宏, 苏春翌. 复杂工业过程运行的混合智能优化控制方法. 自动化学报, 2008, 34(5): 505-515) |
[25] |
Chai T Y, Liu J X, Ding J L, Su C Y. Hybrid intelligent optimising control for high-intensity magnetic separating process of hematite ore. Measurement and Control, 2007, 40(6): 171-175 |
[26] |
Chai T Y, Ding J L, Wu F H. Hybrid intelligent control for optimal operation of shaft furnace roasting process. Control Engineering Practice, 2011, 19(3): 264-275 |
[27] |
Yan A J, Chai T Y, Yue H. Multivariable intelligent optimizing control approach for shaft furnace roasting process. Acta Automatica Sinica, 2006, 32(4): 636-640 |
[28] |
Wu F H, Chai T Y. Soft sensing method for magnetic tube recovery ratio via fuzzy systems and neural networks. Neurocomputing, 2010, 73(13-15): 2489-2497 |
[29] |
Zhou P, Chai T Y, Wang H. Intelligent optimal-setting control for grinding circuits of mineral processing process. IEEE Transactions on Automation Science and Engineering, 2009, 6(4): 730-743 |
[30] |
Chai T Y, Wu F H, Ding J L, Su C Y. Intelligent work-situation fault diagnosis and fault-tolerant system for the shaft-furnace roasting process. Proceedings of the Institution of Mechanical Engineers Part I: Journal of Systems and Control Engineering, 2007, 221(16): 843-855 |
[31] |
Ding J L, Chai T Y, Wang H. Offline modeling for product quality prediction of mineral processing using modeling error PDF shaping and entropy minimization. IEEE Transactions on Neural Networks, 2011, 22(3): 408-419 |
[32] |
Ding J L, Chai T Y, Wang H, Chen X K. Knowledge-based global operation of mineral processing under uncertainty. IEEE Transactions on Industry Informatics, 2012, 8(4): 849-859 |
[33] |
Chai T Y, Zhang Y J, Wang H, Su C Y, Sun J. Data-based virtual unmodeled dynamics driven multivariable nonlinear adaptive switching control. IEEE Transactions on Neural Networks, 2011, 22(12): 2154-2172 |
[34] |
Liu Q, Chai T Y, Wang H, Qin S Z J. Data-based hybrid tension estimation and fault diagnosis of cold rolling continuous annealing processes. IEEE Transactions on Neural Networks, 2011, 22(12): 2284-2295 |
[35] |
Yu G, Chai T Y, Luo X C. Multiobjective production planning optimization using hybrid evolutionary algorithms for mineral processing. IEEE Transactions on Evolutionary Computation, 2011, 15(4): 487-514 |
[36] |
Chai T Y, Zhao L, Qiu J B, Liu F Z, Fan J L. Integrated network-based model predictive control for setpoints compensation in industrial processes. IEEE Transactions on Industrial Informatics, 2013, 9(1): 417-426 |