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Robert C. N. Pilawa-Podgurski

Researcher at University of California, Berkeley

Publications -  218
Citations -  7502

Robert C. N. Pilawa-Podgurski is an academic researcher from University of California, Berkeley. The author has contributed to research in topics: Capacitor & Converters. The author has an hindex of 37, co-authored 178 publications receiving 5456 citations. Previous affiliations of Robert C. N. Pilawa-Podgurski include Massachusetts Institute of Technology & Urbana University.

Papers
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Proceedings ArticleDOI

Modeling and Analysis of Switched-Capacitor Converters with Finite Terminal Capacitances

TL;DR: In this article, the authors proposed a general modeling and analysis methodology for SC converters that is capable of considering the effects of finite C in and C out capacitances on the output impedance R out and overall efficiency.

Integrated CMOS Energy Harvesting Converter with Digital Maximum Power Point Tracking for a Portable Thermophotovoltaic Power Generator

TL;DR: Interconnect Focus Center (United States. Defense Advanced Research Projects Agency and Semiconductor Research Corporation) as discussed by the authors has been used as a data center for the Connectivity Focus Center.
Proceedings ArticleDOI

Quad Gate-Driver Controller with Start-Up and Shutdown for Cascaded Resonant Switched-Capacitor Converter

TL;DR: In this article, a modular quad gate-driver and controller chip for use with cascaded 2:1 switched-capacitor (SC) resonant dc-dc converters is presented.
Proceedings ArticleDOI

Fundamental State-Space Modeling Methodology for the Flying Capacitor Multilevel Converter

TL;DR: In this article , a computational-ally efficient analytical model and methodology for describing the fully generalized buck FCML topology with a state-space dynamical representation is presented and validated against a high-performance five-level hardware prototype.
Proceedings ArticleDOI

Performance Limits of Differential Power Processing

TL;DR: In this paper, an analytical stochastic model is developed to estimate the average power loss of a DPP topology under probabilistic load distributions, and a scaling factor is introduced to describe how power loss scales as the system size or load power variance increases.