DocumentCode :
294363
Title :
Improved upper bounds of the structured singular value
Author :
Fu, Minyiie ; Barabanov, Nikita E.
Author_Institution :
Dept. of Electr. & Comput. Eng., Newcastle Univ., NSW, Australia
Volume :
3
fYear :
1995
fDate :
13-15 Dec 1995
Firstpage :
3115
Abstract :
Takes a new look at the mixed structured singular value problem. Several new upper bounds are proposed using a very simple approach which the authors call the multiplier approach. These new bounds are convex, computable by using the linear matrix inequality (LMI) method, and numerically efficient in many robust stability problems. The authors show, most importantly, that these upper bounds are actually lower bounds of a well-known upper bound which involves the so-called D-scaling (for complex perturbations) and G-scaling (for real perturbations)
Keywords :
computational complexity; control system analysis; control system synthesis; matrix algebra; robust control; D-scaling; G-scaling; complex perturbations; linear matrix inequality method; lower bounds; mixed structured singular value problem; multiplier approach; real perturbations; robust stability problems; upper bounds; Australia; Linear matrix inequalities; Linear systems; Robust stability; Uncertainty; Upper bound;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 1995., Proceedings of the 34th IEEE Conference on
Conference_Location :
New Orleans, LA
ISSN :
0191-2216
Print_ISBN :
0-7803-2685-7
Type :
conf
DOI :
10.1109/CDC.1995.478624
Filename :
478624
Link To Document :
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