Options
Grid-Free Constraints for Parameter-Dependent Generalized Gramians via Full Block S-Procedure
Publikationstyp
Conference Paper
Date Issued
2022-07
Sprache
English
Author(s)
Institut
Start Page
1073
End Page
1078
Citation
European Control Conference (ECC 2022)
Contribution to Conference
Publisher DOI
Scopus ID
This paper shows how the computational effort required for the computation of parameter-dependent generalized Gramians (PDGGs) for linear parameter-varying (LPV) systems with more than two scheduling parameters can be significantly reduced by using a grid-free approach. This approach is applicable to LPV systems that can be expressed as linear fractional representations. The constraints for generalized Gramians are reformulated according to the full block S-procedure (FBSP) lemma, which eliminates the need for gridding by imposing a DG-scale structure on the multipliers. A case study on numerical examples illustrates the benefits of PDGGs in the balanced truncation method and shows a considerable improvement in computation time when there are more than two scheduling parameters. Moreover, the results suggest that the conservatism due to using DG-scalings does not affect the quality of the reduced models.