DocumentCode :
3588990
Title :
Optimal passivity enforcement of state-space models via localization methods
Author :
Mahmood, Zohaib ; Grivet-Talocia, Stefano ; Calafiore, Giuseppe C. ; Daniel, Luca
Author_Institution :
Dept. Electr. Eng. & Comput. Sci., MIT, Cambridge, MA, USA
fYear :
2014
Firstpage :
89
Lastpage :
92
Abstract :
This work presents a novel approach for passivity enforcement of state-space macromodels, based on nonsmooth localization algorithms applied to a convex formulation of the passivity constraints. The main advantages of proposed scheme are guaranteed optimality and limited required computational resources. Compared to convex formulations based on a direct implementation of Bounded Real Lemma we are able to reduce both the memory and time requirements by orders of magnitude.
Keywords :
convex programming; integrated circuit modelling; state-space methods; bounded real Lemma; computational resources; convex formulations; localization methods; memory requirements; nonsmooth localization; optimal passivity enforcement; passivity constraints; state-space macromodels; time requirements; Computational modeling; Ellipsoids; Integrated circuit interconnections; Integrated circuit modeling; Mathematical model; Memory management; Solid modeling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Performance of Electronic Packaging and Systems (EPEPS), 2014 IEEE 23rd Conference on
Print_ISBN :
978-1-4799-3641-0
Type :
conf
DOI :
10.1109/EPEPS.2014.7103602
Filename :
7103602
Link To Document :
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