Robust and reliable estimation via Unscented Recursive Nonlinear Dynamic Data Reconciliation

By P. Vachhani, S. Narasimhan, Raghunathan Rengaswamy. 2006

160 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Control and Systems Engineering, Signal Processing

View Paper: https://www.semanticscholar.org/paper/32710a57a2aa1b632acbfa5eaa878c0b252d29ac

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Luis A. Aguirre
2. Dennis S. Bernstein
3. Leonardo A. B. Tôrres
4. Bruno Otávio Soares Teixeira

In Control and Systems Engineering

1. Luis A. Aguirre
2. Dennis S. Bernstein
3. Leonardo A. B. Tôrres
4. Bruno Otávio Soares Teixeira
5. Wilfrid Perruquetti
6. Wassim M. Haddad
7. Andrey E. Polyakov
8. Zhihong Man

Citations in the corpus

• On unscented Kalman filtering with state interval constraints (2010, methodology): “Model information is used during the forecast step, while measurement data are injected into the estimates during the data-assimilation step.”