A natural observer for optimal state estimation in second order linear structural systems
By Eric M. Hernandez. 2011
56 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Control and Systems Engineering, Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/b563ad5ae4e89dbc218182aed4ac9c289b248b98
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Civil and Structural Engineering
- Geert Lombaert
- Eleni N. Chatzi
- Costas Papadimitriou
- Saeed Eftekhar Azam
- K. V. Nimmen
- Edwin Reynders
- E. Lourens
- Guido De Roeck
In Control and Systems Engineering
- Eleni N. Chatzi
- Costas Papadimitriou
- Savvas P. Triantafyllou
- Geert Lombaert
- M. Chatzis
- Saeed Eftekhar Azam
- J. Hurtado
- Diego A. Alvarez
In Mechanical Engineering
- Edwin Reynders
- Savvas P. Triantafyllou
- Geert Lombaert
- Guido De Roeck
- M. Chatzis
- Costas Papadimitriou
- Saeed Eftekhar Azam
- Eleni N. Chatzi
Citations in the corpus
- Design of sensor networks for instantaneous inversion of modally reduced order models in structural dynamics (2015, background): “Several state estimation algorithms have been proposed for linear as well as for non-linear systems [8, 9, 10, 11].”
- A dual Kalman filter approach for state estimation via output-only acceleration measurements (2015, methodology): “Hernandez [6] proposed an observer that possesses similar characteristics to the Kalman filter in the sense that it minimizes the trace of the state error covariance matrix.”
- A Discontinuous Extended Kalman Filter for non-smooth dynamic problems (2017, methodology): “Modifications of the Kalman filter that may allow for the simultaneous 45 identification of the input force ([10]) and methods based on observers of similar nature ([11, 12]) are also liable to such effects.”