Unbiased minimum-variance input and state estimation for linear discrete-time systems

By Steven Gillijns, B. De Moor. at - Automatisierungstechnik, 2007

624 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/4d7a3be92fe8a1b2aaeb30f58bf30a9ff60ff1b5

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. Saeed Eftekhar Azam

In Control and Systems Engineering

1. Costas Papadimitriou
2. Eleni N. Chatzi
3. Saeed Eftekhar Azam

Citations in the corpus

• A dual Kalman filter approach for state estimation via output-only acceleration measurements (2015, background): “This is due to the fact that the GDF is designed to minimize the MSE of the estimations P jjdk Gζk Jpkjj(2)2=Nt of the observed states [25], and as it turns out a false prediction for the input force estimation could provide a lower discrepancy from the”