Accelerating simulations of first principle models of complex industrial systems using quasi linear parameter varying models

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

Volumn 2005, Issue , 2005, Pages 4146-4151

  Bos, Robert ^a   Bombois, Xavier ^a   Van Den Hof, Paul M J ^a  

^a DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; COMPUTATIONAL METHODS; FINITE ELEMENT METHOD; IDENTIFICATION (CONTROL SYSTEMS); LINEAR SYSTEMS;

FIRST PRINCIPLES MODELS; ONLINE MONITORING; QUASI LINEAR PARAMETER VARYING MODEL; QUASI LINEAR PARAMETER VARYING MODELS;

LARGE SCALE SYSTEMS;

EID: 33847198652     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CDC.2005.1582812     Document Type: Conference Paper

References (13)

1. P. Holmes, J. L. Lumley, and G. Berkooz, Turbulence, coherent structures, dynamical systems and symmetry. Cambridge University Press, 1996.
2. J. M. A. Scherpen, "Balancing for nonlinear systems," Systems and Control Letters, pp. 143-153, 1993.
3. S. Lall, J. E. Marsden, and S. Glavaski, "A subspace approach to balanced truncation for model reduction of nonlinear control systems," International Journal on Robust and Nonlinear Control, vol. 12, pp. 519-535, 2002.
4. W. Marquardt, "Nonlinear model reduction for optimization based control of transient chemical processes," AIChE Symp. Ser. 326, vol. 98, pp. 12-42, 2002.
5. R. Bos, X. Bombois, and P. Van den Hof, "Accelerating large-scale non-linear models for monitoring and control using spatial and temporal correlations," in Proceedings of American Control Conference 2004, Boston, 2004, pp. 3705-3710.
6. P. Astrid, "Reduction of process simulation models - a proper orthogonal decomposition approach," Ph.D. dissertation, Eindhoven University of Technology, 2004.
7. L. Huisman and S. Weiland, "Identification and model predictive control of an industrial glass-feeder," in Proceedings 13th IFAC Symposium on System Identification, Rotterdam, 2003, pp. 1685-1689.
8. V. Verdult, L. Ljung, and M. Verhaegen, "Identification of composite local linear state-space models using a projected gradient search," Int. J. Control, vol. 75, pp. 1385-1398, 2002.
9. B. Bamieh and L. Giarré, "Identification of linear paramter varying models," Int. J. Nonlinear Control, vol. 12, pp. 841-853, 2002.
10. L. H. Lee and K. Poolla, "Identification of linear parameter-varying systems using nonlinear programming," J. of Dynamic Systems, Measurement and Control, vol. 121, pp. 71-78, 1999.
11. T. A. Johansen and B. A. Foss, "Identification of non-linear system structure and parameters using regime decomposition," Automatica, vol. 31, no. 2, pp. 321-326, 1995.
12. R. Babuška, Fuzzy Modeling for Control. Boston/Dordrecht/London: Kluwer Academic, 1998.
13. V. Verdult, "Nonlinear System Identification - A State-Space Approach," Ph.D. dissertation, University of Twente, 2002.