Index of /skoge/publications/1996/svd_long

Name	Last modified	Size

Parent Directory		-
README.html	2010-07-15 10:05	1.4K
svd_long.info	2010-07-15 10:05	216
svd_long.pdf	2010-07-15 10:05	365K
svd_long.ps	2010-07-15 10:05	326K

Optimality of SVD-controllers. M. Hovd, R.D. Braatz and S. Skogestad, Norwegian University of Science and Technology, Dept. of Chemical Engineering, April 1996. Revised Dec. 1996. Technical Report: 18 April 1996, Revised: 27 Dec. 1996

Abstract.
Plant structure is utilized for the simplification of system analysis and controller synthesis. For plants where the directionality is independent of frequency, the singular value decomposition (SVD) is used to decouple the system into nominally independent subsystems of lower dimension. In H2- and H-infinity-optimal control, the controller synthesis can thereafter be performed for each of these subsystems independently, and the resulting overall SVD controller will be optimal (the same will hold for any norm which is invariant under unitary transformations). In H-infinity-optimal control the resulting controller is also super-optimal, as a controller of dimension n x n will minimize the norm in n directions. For robust control in terms of the structured singular value, mu , the SVD controller is optimal for a practically relevant class of block diagonal structures and uncertainty and performance weights. The results are applied to the ill-conditioned distillation case study of Skogestad et al. (1988), where it is shown that an SVD controller is mu-optimal for the case of unstructured input uncertainty.