Archivio Istituzionale della RicercaThis 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.
Optimal passivity enforcement of state-space models via localization methods / Z., Mahmood; GRIVET TALOCIA, Stefano; Calafiore, Giuseppe Carlo; L., Daniel. - STAMPA. - (2014), pp. 89-92. (Intervento presentato al convegno Electrical Performance of Electronic Packaging and Systems (EPEPS), 2014 IEEE 23rd Conference on tenutosi a Portland, OR nel 26-29 Oct. 2014) [10.1109/EPEPS.2014.7103602].
Optimal passivity enforcement of state-space models via localization methods
GRIVET TALOCIA, STEFANO;CALAFIORE, Giuseppe Carlo;
2014
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.
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https://hdl.handle.net/11583/2606207
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