Unscented Kalman filtering for nonlinear structural dynamics

By Stefano Mariani, Aldo Ghisi. 2007

167 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Civil and Structural Engineering, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/25e01d87c54648aa2c3a88d8906e20768c9a73bc

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. Costas Papadimitriou
2. Eleni N. Chatzi
3. Savvas P. Triantafyllou
4. M. Chatzis
5. Saeed Eftekhar Azam

In Civil and Structural Engineering

1. Eleni N. Chatzi
2. Saeed Eftekhar Azam
3. Costas Papadimitriou
4. Savvas P. Triantafyllou
5. M. Chatzis
6. Geert Lombaert
7. Oral Büyüköztürk
8. Hao Sun

In Control and Systems Engineering

1. Costas Papadimitriou
2. Eleni N. Chatzi
3. Savvas P. Triantafyllou
4. M. Chatzis
5. Saeed Eftekhar Azam

Citations in the corpus

• A dual Kalman filter approach for state estimation via output-only acceleration measurements (2015, background): “It has been shown by Mariani and Ghisi [14] that at the price of a higher computational burden the UKF outperforms the EKF dealing with nonlinear parameter identification problems.”
• A Discontinuous Extended Kalman Filter for non-smooth dynamic problems (2017, background): “590 So far predominantly in the literature ([34]) this has been attributed to the”