System identification via nuclear norm regularization for simulated moving bed processes from incomplete data sets

Proceedings of the IEEE Conference on Decision and Control

Volumn , Issue , 2009, Pages 4692-4697

  Grossmann, Cristian ^a   Jones, Colin N ^a   Morari, Manfred ^a  

^a ETH ZURICH   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

CHEMICAL ANALYSIS; CONVEX OPTIMIZATION;

CONVEX OPTIMIZATION PROBLEMS; EXPECTATION CONDITIONAL MAXIMIZATIONS; FIRST PRINCIPLES MODELS; INCOMPLETE DATA SETS; NUCLEAR NORM REGULARIZATIONS; PREDICTION ERROR MINIMIZATIONS; SIMULATED MOVING BED PROCESS; SUBSPACE IDENTIFICATION;

RELIGIOUS BUILDINGS;

EID: 77950788201     PISSN: 07431546     EISSN: 25762370     Source Type: Conference Proceeding    
DOI: 10.1109/CDC.2009.5400711     Document Type: Conference Paper

References (14)

1. P. Kadlec, B. Gabrys, S. Bogdan, S. Strandt, "Data-driven Soft Sensors in the process industry", Computers & Chemical Engineering, vol.33, no.4, pp. 795-814, 2009.
2. A. Rajendran, G. Paredes, M. Mazzotti "Simulated moving bed chromatography for the separation of enantiomers", J. Chromatogr. A vol. 1216, pp. 709-738, 2009.
3. P. VanOvershee and B. DeMoor, "Subspace identification for linear systems-theory, implementation, applications", Boston, MA: Kluwer Academic Publisher, 1996.
4. Xiao-Li Meng and Donald B. Rubin, "Maximum Likelihood Estimation via the ECM Algorithm", Biometrika, vol.80, no.2, pp. 267-278, 1993.
5. C.Grossmann, M. Amanullah, G. Erdem, M. Morari, M. Mazzotti, and M. Morbidelli. "Cycle to cycle optimizing control of simulated moving beds". AIChE Journal, vol.54, pp. 194208, 2008.
6. B. Recht, M. Fazel and P.A. Parrilo, "Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization", arXiv:0706.4138v1 [math.OC], 2007.
7. E.J. Cands, J. K. Romberg, T. Tao, "Stable signal recovery from incomplete and inaccurate measurements", Communications on Pure and Applied Mathematics. vol.59, no.8, pp. 1207-1223, 2006.
8. D.L. Donoho. "Compressed sensing". IEEE Trans. Inform. Theory, vol.52, no.4, pp. 1289-1306, 2006.
9. M. Fazel, H. Hindi and S. Boyd. "A rank minimization heuristic with application to minimum order system approximation", In Proceedings of the American Control Conference, pp. 4734-4739, 2001
10. Z. Liu and L. Vandenberghe. "Interior-point method for nuclear norm approximation with application to system identification", Submitted to Mathematical Programming, 2008.
11. T. Hastie, R. Tibshirani, and J. Friedman. "The elements of statistical learning. Data mining, inference and prediction". Springer-Verlag, 2001.
12. J. F. Sturm. Using SEDUMI 1.02, a Matlab toolbox for optimization over symmetric cones. Optimization Methods and Software, 11-12:625653, 1999.
13. De Moor B.L.R. (ed.), DaISy: Database for the Identification of Systems, Department of Electrical Engineering, ESAT/SISTA, K.U.Leuven, Belgium, URL: http://homes.esat.kuleuven.be/ smc/daisy/, Oct 2008.
14. C. Grossmann, C.N. Jones, M. Morari. System identification via nuclear norm regularization from incomplete data sets, 10th European Control Conference, Budapest, Hungary, 2009.