Marcos Netto
Artificial Intelligence · 2017–2019
A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 6 citations into it
Whom Marcos Netto trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Marcos Netto's perspective
Ordered by how strongly the researchers Marcos Netto trusts endorse each paper. Same corpus, a different order for every researcher.
- Unscented filtering and nonlinear estimation
- I and J
- Optimal State Estimation
- Survey of nonlinear attitude estimation methods
- A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking (IEEE Transactions on Signal Processing)
- The Ensemble Kalman Filter: theoretical formulation and practical implementation
- A subspace approach to balanced truncation for model reduction of nonlinear control systems
- Wide-Area Monitoring, Protection, and Control of Future Electric Power Networks (Proceedings of the IEEE)
- Buffalo Medical and Surgical Journal: Book Reviews
- Synchronized Phasor Measurement Applications in Power Systems (IEEE Transactions on Smart Grid)
Their papers
- A Robust Iterated Extended Kalman Filter for Power System Dynamic State Estimation (2017) — 419 citations
- Power System Dynamic State Estimation: Motivations, Definitions, Methodologies, and Future Work (2019) — 526 citations