Grouped neural network model-predictive control

Control Engineering Practice

Volumn 11, Issue 7, 2003, Pages 723-732

  Ou, Jing ^a   Rhinehart, R Russell ^a  

^a Oklahoma State University   (United States)

Author keywords

Constrained; Control; Distillation; Experimental; Model predictive; Nonlinear

Indexed keywords

DISTILLATION; NEURAL NETWORKS; NONLINEAR CONTROL SYSTEMS;

PILOT-SCALE DISTILLATION UNITS;

PREDICTIVE CONTROL SYSTEMS;

DISTILLATION COLUMN; NEURAL NETWORK; NON-LINEAR SYSTEM; PREDICTIVE CONTROL; PROCESS CONTROL;

EID: 0041302142     PISSN: 09670661     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0967-0661(02)00184-3     Document Type: Article

References (12)

1. Bequette, B. W. (1991). Nonlinear control of chemical processes: A review. Industrial and Engineering Chemistry Research, 30, 1391-1413.
2. Cutler, C. R., & Ramaker, B. L. (1979). Dynamic matrix control a computer control algorithm. A.I.Ch.E. 86th national meeting. Houston, TX.
3. Henson, M. A. (1998). Nonlinear model predictive control: Current status and future directions. Computers and Chemical Engineering, 23, 187-202.
4. Hussain, M. A. (1999). Review of the applications of neural networks in chemical process control simulation and online implementation. Artificial Intelligence in Engineering, 13, 55-68.
5. Liu, D., Shah, S. L., & Fisher, D. G. (1999). Multiple prediction models for long range predictive control. Proceedings of IFAC world congress, Beijing, pp. 175-180.
6. Morari, M., & Lee, J. H. (1999). Model predictive control: Past, present, and future. Computers and Chemical Engineering, 23(4-5). 667-682.
7. Ou, J., & Rhinehart, R. R. (2002). Grouped-neural network model for model predictive control. ISA Transactions, 41(2). 195-202.
8. Qin, S. J., & Badgwell, T. A. (1998). An overview of nonlinear model predictive control applications. Proceedings of the IFAC workshop: Non-linear model predictive control: Assessment and future Directions. Ascona, Switzerland.
9. Rossiter, J. A., & Kouvaritakis, B. (2001). Modeling and implicit modeling for predictive control. International Journal of Control. 74(11), 1085-1095.
10. Scattolini, R., & Bittanti, S. (1990). On the choice of the horizon in long-range predictive control some simple criteria. Automatica, 26, 915-917.
11. Seborg, D. E., Edgar, T. F., & Mellichamp, D. A. (1989). Process dynamics and control. New York: Wiley.
12. Werbos, P. J. (1990). Backpropagation through time: What it does and how to do it. Proceedings of the IEEE, 78(10), 1550-1560.