Worst-case droop in nonlinear Power Delivery Networks is estimated by harnessing existing optimal control techniques with data-driven bilinear macromodels to find the worstcase stimulus. The approach is numerically demonstrated on a realistic Low-DropOut regulator.
Towards Estimation of Worst-case Voltage Droop in Nonlinear Power Delivery Networks / Carlucci, A., Grivet-Talocia, S.. - ELETTRONICO. - (2025), pp. 1-3. (34th Conference on Electrical Performance of Electronic Packaging and Systems, EPEPS 2025 Milpitas, CA, USA 19-22 October 2025) [10.1109/epeps63858.2025.11346610].
Towards Estimation of Worst-case Voltage Droop in Nonlinear Power Delivery Networks
Carlucci, Antonio;Grivet-Talocia, Stefano
2025
Abstract
Worst-case droop in nonlinear Power Delivery Networks is estimated by harnessing existing optimal control techniques with data-driven bilinear macromodels to find the worstcase stimulus. The approach is numerically demonstrated on a realistic Low-DropOut regulator.File in questo prodotto:
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Utilizza questo identificativo per citare o creare un link a questo documento:
https://hdl.handle.net/11583/3013138
