Marcos Netto

According to our database, Marcos Netto authored at least 14 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Participation Factors for Nonlinear Autonomous Dynamical Systems in the Koopman Operator Framework.

Kenji Takamichi, Yoshihiko Susuki, Marcos Netto

IEEE Trans. Autom. Control., November, 2025

Graph approach for observability analysis in power system dynamic state estimation.

Akhila Kandivalasa, Marcos Netto

CoRR, October, 2025

Observability and parameter estimation of a generic model for aggregated distributed energy resources.

Bukunmi Gabriel Odunlami, Marcos Netto

CoRR, October, 2025

Hybrid dynamical systems modeling of power systems.

Bukunmi Gabriel Odunlami, Marcos Netto, Yoshihiko Susuki

CoRR, September, 2025

Efficient Streaming Dynamic Mode Decomposition.

Aditya Kale, Marcos Netto, Xinyang Zhou

IEEE Control. Syst. Lett., 2025

2024

Statistical analysis and method to quantify the impact of measurement uncertainty on dynamic mode decomposition.

Pooja Algikar, Pranav Sharma, Marcos Netto, Lamine Mili

Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

2023

Propagating Parameter Uncertainty in Power System Nonlinear Dynamic Simulations Using a Koopman Operator-Based Surrogate Model.

Yijun Xu, Marcos Netto, Lamine Mili

CoRR, 2023

2022

A mode-in-state contribution factor based on Koopman operator and its application to power system analysis.

Kenji Takamichi, Yoshihiko Susuki, Marcos Netto, Atsushi Ishigame

CoRR, 2022

Robust Dynamic Mode Decomposition.

Amir Hossein Abolmasoumi, Marcos Netto, Lamine Mili

IEEE Access, 2022

2021

Measurement placement in electric power transmission and distribution grids: Review of methods and opportunities.

Marcos Netto, Venkat Krishnan, Yingchen Zhang, Lamine Mili

CoRR, 2021

A robust extended Kalman filter for power system dynamic state estimation using PMU measurements.

Marcos Netto, Junbo Zhao, Lamine Mili

CoRR, 2021

On analytical construction of observable functions in extended dynamic mode decomposition for nonlinear estimation and prediction.

Marcos Netto, Yoshihiko Susuki, Venkat Krishnan, Yingchen Zhang

Proceedings of the 2021 American Control Conference, 2021

2020

NREL 30-Second ASI Timeseries April 4-21, 2019.

Peter Shaffery, Afshin Andreas, Manajit Sengupta, Aron Habte, Marcos Netto, Venkat Krishnan

Dataset, May, 2020

2019

Data-Driven Participation Factors for Nonlinear Systems Based on Koopman Mode Decomposition.

Marcos Netto, Yoshihiko Susuki, Lamine Mili

IEEE Control. Syst. Lett., 2019