Optimal IV identification and estimation of continuous-time TF models

By Peter C. Young. 2002

54 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/008690cf6c6567bac4f0e3a623f2c378d623aa5d

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. Hugues Garnier
2. Marion Gilson
3. E. Huselstein
4. Rachid Malti
5. Stéphane Victor
6. Alain Oustaloup
7. Peter C. Young

In Control and Systems Engineering

1. Hugues Garnier
2. Marion Gilson
3. Peter C. Young
4. Rachid Malti
5. E. Huselstein
6. Stéphane Victor
7. Alain Oustaloup
8. Liuping Wang

In Signal Processing

1. Hugues Garnier
2. Marion Gilson
3. Stéphane Victor
4. Rachid Malti
5. Alain Oustaloup
6. E. Huselstein

Citations in the corpus

• An optimal instrumental variable method for continuous-time fractional model identification (2008, methodology): “Even though ivsvf and srivcf methods are both asymptotically unbiased (Young (2002)), srivcf significantly improves the parameter variance, as displayed in the σ( ˆ θ) columns (standard deviation) of Table 1.”
• An optimal IV technique for identifying continuous-time transfer function model of multiple input systems (2007, methodology): “It has recently been revisited (Young 2002) and adapted to handle the case of irregularly sampled data (Huselstein and Garnier 2002) (see also (Raghavan et al. 2006) for a recent review of identification approaches for handling irregularly sampled data).”