Integrated design and control under uncertainty: A fuzzy modeling approach

Industrial and Engineering Chemistry Research

Volumn 49, Issue 3, 2010, Pages 1312-1324

  Lu, XinJiang ^a   Li, Han Xiong ^a   Duan, Ji An ^b   Sun, Dong ^a  

^a CITY UNIVERSITY OF HONG KONG   (Hong Kong)

^b CENTRAL SOUTH UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CONTROL SYSTEM DESIGNS; CURING PROCESS; DESIGN AND CONTROL; DYNAMIC PERFORMANCE; ECONOMIC DESIGN; FUZZY CONTROL RULES; FUZZY MODELING; FUZZY MODELING METHOD; INTEGRATED DESIGNS; INTEGRATION METHOD; NONLINEAR PROCESS; OBJECTIVE FUNCTIONS; SEQUENTIAL METHODS; TEMPERATURE PROFILES;

FUZZY CONTROL;

DESIGN;

EID: 76049126683     PISSN: 08885885     EISSN: None     Source Type: Journal    
DOI: 10.1021/ie901457j     Document Type: Conference Paper

References (29)

1. Lewin, D. R. Interaction of design and control. 7th IEEE Mediterranean Conf. Control Automation (Haifa, Israel) 1999, 1384.
2. Skogestad, S.; Postlethwaite, I. MultiVariable feedback control: Analysis and design; John Wiley & Sons: New York, 2005.
3. Kariwala, V.; Forbes, J. F.; Meadows, E. S. Block relative gain: Properties and pairing rules. Ind. Eng. Chem. Res. 2003, 42, 4564.
4. Hernjak, N.; Doyle, F. J.; Ogunnaike, B. A.; Pearson, R. K. Chapter A2: Chemical process characterization for control design. Comput.-Aided =Chem. Eng. 2004, 17, 42.
5. Hopkins, L.; Lant, P.; Newell, B. Output structural controllability: A tool for integrated process design and control. J. Process Control 1998, 8, 57.
6. Halvorsen, I. J.; Skogestad, S.; Morud, J. C.; Alstad, V. Optimal selection of controlled variables. Ind. Eng. Chem. Res. 2003, 42, 3273.
7. Alstad, V.; Skogestad, S.; Hori, E. S. Optimal measurement combinations as controlled variables. J. Process Control 2009, 19, 138.
8. Seferlis, P.; Grievink, J. Process design and control structure screening based on economic and state controllability criteria. Comput.- Aided Chem. Eng. 2001, 25, 177.
9. Solovyev, B. M.; Lewin, D. R. A steady-state process resiliency index for nonlinear processes: 1. Analysis. Ind. Eng. Chem. Res. 2003, 42, 4506.
10. Lear, J. B.; Barton, G. W.; Perkins, J. D. Interaction between process design and process control: The impact of disturbances and uncertainty on estimates of achievable economic performance. J. Process Control 1995, 5, 49.
11. Skogestad, S.; Morari, M. Effect of disturbance directions on closedloop performance. Ind. Eng. Chem. Res. 1987, 26, 2029.
12. Mohideen, M. J.; Perkins, J. D.; Pistikopoulos, E. N. Optimal design of dynamic systems under uncertainty. AIChE J. 1996, 42, 2251.
13. Mohideen, M. J.; Perkins, J. D.; Pistikopoulos, E. N. Robust stability considerations in optimal design of dynamic systems under uncertainty. J. Process Control 1997, 7, 371.
14. Bansal, V.; Ross, R.; Perkins, J. D.; Pistikopoulos, E. N. The interactions of design and control: Double-effect distillation. J. Process Control 2000, 10, 219.
15. Georgiadis, M. C.; Schenk, M.; Pistikopoulos, E. N.; Gani, R. The interactions of design control and operability in reactive distillation systems. Comput. Chem. Eng. 2002, 26, 735.
16. Chawankul, N. Integration of design and control: A robust control approach; Ph.D. thesis, University of Waterloo, Canada, 2005.
17. Meeuse, F. M.; Tousain, R. L. Closed-loop controllability analysis of process designs: Application to distillation column design. Comput. Chem. Eng. 2002, 26, 641.
18. Lear, J. B.; Barton, G. W.; Perkins, J. D. Interaction between process design and process control: The impact of disturbances and uncertainty on estimates of achievable economic performance. J. Process Control 1995, 5, 49.
19. Swartz, C. L. E. Chapter B3: The use of controller parameterization in the integration of design and control. Comput.-Aided Chem. Eng. 2004, 17, 239.
20. Sandoval, L.A. R.; Budman, H. M.; Douglas, P. L. Simultaneous design and control of processes under uncertainty: A robust modeling approacn. J. Process Control 2008, 18, 735.
21. Takagi, T.; Sugeno, M. Fuzzy identification of systems and its applications to modeling and control. IEEE Trans. Syst., Man, Cybern. 1985, 15, 116.
22. Tanaka, K.; Wang, H. O. Fuzzy Control Systems Design and Analysis: A Linear Matrix Inequality Approach; John Wiley & Sons: New York, 2001.
23. ∞? fuzzy observer-based control for a class of nonlinear distributed parameter systems with control constraints. IEEE Trans. Fuzzy Syst. 2008, 16, 502.
24. Tseng, C. S.; Chen, B. S.; Uang, H. J. Fuzzy tracking control design for nonlinear dynamic systems via T-S fuzzy model. IEEE Trans. Fuzzy Syst. 2001, 9, 381.
25. Hisung, J. C.; Pearson, R. A. Processing diagrams for polymeric die attach adhesives. Proc. IEEE Electron. Components Technol. Conf. 1997, 536.
26. Jan, Y. K.; Lin, C. A. Lamp configuration design for rapid thermal processing systems. IEEE Trans. Semiconductor Manuf. 1998, 11, 75.
27. Siegel, R.; Howell, J. R. Thermal Radiation Heat Transfer; Taylor & Francis: New York, 2002.
28. Tong, S. C.; Wang, T.; Wang, Y. P.; Tang, J. T. Design and Stability Analysis of Fuzzy Control Systems; Science Press; Beijing, 2004.
29. Grosch, R.; Monnigmann, M.; Marquardt, W. Integrated design and control for robust performance: application to an MSMPR crystallizer. J. Process Control 2008, 18, 173.