Multivariable system identification for integral controllability

Automatica

Volumn 45, Issue 10, 2009, Pages 2194-2204

  Darby, Mark L ^a   Nikolaou, Michael ^a  

^a UNIVERSITY OF HOUSTON   (United States)

Author keywords

Control relevant identification; Design of experiments; Ill conditioned systems; Multivariable systems

Indexed keywords

CLOSED-LOOP; CONTROL RELEVANT IDENTIFICATION; DECOUPLING CONTROLLERS; DETUNED; EIGENVALUE INEQUALITIES; EXPERIMENT DESIGN; ILL-CONDITIONED SYSTEMS; INDUSTRIAL PRACTICES; INTEGRAL ACTION; MATHEMATICAL FRAMEWORKS; MULTI VARIABLES; MULTIVARIABLE SYSTEM IDENTIFICATION; NUMERICAL OPTIMIZATIONS; REAL SYSTEMS; ROBUST STABILITY;

CONTROLLABILITY; DESIGN OF EXPERIMENTS; EIGENVALUES AND EIGENFUNCTIONS; MULTIVARIABLE SYSTEMS;

IDENTIFICATION (CONTROL SYSTEMS);

EID: 70049093832     PISSN: 00051098     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.automatica.2009.05.025     Document Type: Article

References (30)

1. Bruwer M.J., and MacGregor J.F. Robust multi-variable identification: Optimal experimental design with constraints. Journal of Process Control 16 (2006) 581-600
2. Choi J.Y., Lee J.T., and Edgar T.F. Use of the sequential loop closing method for iterative identification of ill-conditioned processes. Industrial & Engineering Chemistry Research 39 (2000) 2404-2409
3. Cooley B.L., and Lee J.H. Control-relevant experiment design for multivariable systems described by expansions in orthonormal bases. Automatica 37 (2001) 273-281
4. Darby, M. L., & Nikolaou, M. (2007). Design of experiments for multivariable systems subject to integral controllability. In AIChE annual meeting. paper 143i
5. Darby, M. L., & Nikolaou, M. (2008). Design of experiments for identification of multivariable models satisfying integral controllability: The dynamic model case. In: AIChE annual meeting. paper 240d
6. Featherstone A.P., and Braatz R.D. Input design for large-scale sheet and film processes. Industrial & Engineering Chemistry Research 37 (1998) 449-454
7. Featherstone A.P., and Braatz R.D. Integrated robust identification and control of large-scale processes. Industrial & Engineering Chemistry Research 37 (1998) 97-106
8. Fedorov V.V., and Hackl P. Model-oriented design of experiments (1997), Springer, New York
9. Gaikwad S.V., and Rivera D.E. Multivariable frequency-response curve fitting with application to control-relevant parameter estimation. Automatica 33 (1997) 1169-1174
10. Garcia C.E., and Morari M. Internal model control: 2. Design procedure for multivariate systems. Industrial and Engineering Chemistry Process Design and Development 24 (1985) 472-484
11. Häggblom K.E., and Böling J.M. Multimodel identification for control of an ill-conditioned distillation column. Journal of Process Control 8 (1998) 209-218
12. Hovd M., Braatz R.D., and Skogestad S. SVD Controllers for H_2-, H_Infinitiy- and mu-optimal Control. Automatica 33 (1997) 433-439
13. Koung C.W., and MacGregor J.F. Geometric analysis of the global stability of linear inverse-based controllers for bivariate nonlinear processes. Industrial & Engineering Chemistry Research 30 (1991) 1171-1181
14. Koung C.W., and MacGregor J.F. Robustness of multivariable linear controllers to process nonlinearities. Industrial & Engineering Chemistry Research 31 (1992) 1085-1096
15. Koung C.W., and MacGregor J.F. Design of identification experiments for robust-control - a geometric approach for bivariate processes. Industrial & Engineering Chemistry Research 32 (1993) 1658-1666
16. Koung C.W., and MacGregor J.F. Identification for robust multivariable control - the design of experiments. Automatica 30 (1994) 1541-1554
17. Lee J., Cho W.H., and Edgar T.F. Iterative identification methods for ill-conditioned processes. Industrial & Engineering Chemistry Research 37 (1998) 1018-1023
18. Li W., and Lee J.H. Control relevant identification of ill-conditioned systems: Estimation of gain directionality. Computers & Chemical Engineering 20 (1996) 1023-1042
19. Löfberg, J. (2004). YALMIP: A toolbox for modeling and optimization in MATLAB. In CACSD conference
20. Mehra R. Optimal input signals for parameter estimation in dynamical systems-survey and new results. IEEE Transactions on Automatic Control 19 (1974) 753-768
21. Misra P., and Nikolaou M. Input design for model order determination in subspace identification. AIChE Journal 49 (2003) 2124-2132
22. Nyström R.H., Böling J.M., Ramstedt J.M., Toivonen H.T., and Häggblom K.E. Application of robust and multimodel control methods to an ill-conditioned distillation column. Journal of Process Control 12 (2002) 39-53
23. Pierce D.J., and Plemmons R.J. Tracking the condition number for Rls in signal-processing. Mathematics of Control Signals and Systems 5 (1992) 23-39
24. Sagfors M.F., and Waller K.V. Multivariable control of ill-conditioned distillation columns utilizing process knowledge. Journal of Process Control 8 (1998) 197-208
25. Seber G.A.F. Linear regression analysis. 2nd ed. (2003), John Wiley, Hoboken, NJ
26. Silvey S. Optimal design (1980), Chapman and Hall
27. Skogestad S., and Morari M. Configuration selection for distillation columns. AIChE Journal 33 (1987) 1620-1635
28. Sturm J.F. Using SeDuMi 1.02, a Matlab toolbox for optimization over symmetric cones. Optimization Methods and Software 11-12 (1999) 625-653
29. Wood R.K., and Berry M.W. Terminal composition control of a binary distillation column. Chemical Engineering Science 28 (1973) 1707
30. Zhan, Q., & Georgakis, C. (2000). Steady-state optimal test signal design for constrained multivariable system. In IFAC system identification