Reduced-order Local Representation of Uncertain Large-scale Interconnected Systems

Publisher:
IEEE
Publication Type:
Conference Proceeding
Citation:
Proc. of 2012 American Control Conference, 2012, pp. 2295 - 2300
Issue Date:
2012-01
Full metadata record
Files in This Item:
Filename Description Size
Thumbnail2011007213OK.pdf Published version7.55 MB
Adobe PDF
We address the structure-preserving model reduction problem of uncertain large-scale systems. The uncertainties under consideration include local uncertainty and interconnection uncertainty, both of which are modeled in terms of IQCs. The performance of the reducedorder system is justified in HÂ¥ sense. It is shown that the feasibility of a collection of rank constrained LMIs is both sufficient and necessary for the existence of a reduced-order representation of the original system. A guaranteed upper bound on the worst-case model reduction performance is also obtained. To obtain a reducedorder model satisfying this bound, related optimization problems involving rank constrained LMIs are discussed.
Please use this identifier to cite or link to this item: