Integration of design and control: A robust control approach using MPC

Proceedings of the 44th IEEE Conference on Decision and Control, and the European Control Conference, CDC-ECC '05

Volumn 2005, Issue , 2005, Pages 5174-5179

  Chawankul, N ^b   Budman, H ^a   Douglas, P L ^b  

^a UNIVERSITY OF WATERLOO   (Canada)

^b NONE

Author keywords

[No Author keywords available]

Indexed keywords

CAPITAL COSTS; INTEGRATED DESIGN METHODOLOGY; MPC STRATEGY;

CONSTRAINT THEORY; CONTROL THEORY; DISTILLATION COLUMNS; PROBLEM SOLVING; ROBUSTNESS (CONTROL SYSTEMS);

INTEGRATED CONTROL;

EID: 33847225534     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CDC.2005.1582983     Document Type: Conference Paper

References (9)

1. Bansal V., Perkins J. D., Pistikopoulos E. N., Ross R. and Schijndel J. M. G. (2000). Simultaneous design and control optimization under uncertainty. Computers and Chemical Engineering, 24, 261-266.
2. Blanco A. M. and Bandoni J. A. (2003). Interaction between process design and operability of chemical processes: an eigenvalue optimization approach. Computers and Chemical Engineering, 27, 1291-1301.
3. Georgiadis M. C., Schenk M. and Pistikopoulos E. N. (2002). The interactions of design, control and operability in reactive distillation systems. Computers and Chemical Engineering, 26, 735-746.
4. Lee L. P. (1993). Nonlinear Process control. London: Spriger-Verlag.
5. Luyben M. L. and Floudas C. A. (1994). Analyzing the interaction of design and control- 1: A Multi objective framework and application to binary distillation synthesis. Computers and Chemical Engineering, 18, 933-969.
6. Mohideen M. J., Perkins J. D. and Pistikopoulos E. N. (1996). Optimal Design of Dynamic Systems under Uncertainty. AIChE Journal, 42, 2251-2272.
7. Morari M. and Zafiriou E. (1989). Robust Process Control. New Jersey: Prentice Hall.
8. Seider, W. D., Seader, J. D. and Lewin, D. R. (1999). Process Design Principle. New York: Wiley.
9. Zanovello, R. and Budman, H. M.(1999). Model predictive control with soft constraints with application to lime kiln control, Computers and Chemical Engineering, 23, 791-806.