Identification of chemical processes with irregular output sampling

By Harigopal Raghavan, A. Tangirala, R. B. Gopaluni, Sirish L. Shah. 2006

99 citations recorded by the source corpus.

Subfields: Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/ee625c51e926a6ef27c21bf7a9af40420276a2f6

How researchers see this paper

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

In Control and Systems Engineering

1. Hugues Garnier
2. Marion Gilson
3. Jie Ding
4. Peter C. Young
5. E. Huselstein
6. Feng Ding
7. Mehdi Dehghan
8. Masoud Hajarian

Citations in the corpus

• 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).”
• Least‐squares parameter estimation for systems with irregularly missing data (2009, background): “Identification problems of systems with missing samples have received much attentions in the statistical literature using the expectation maximization (EM) approach [18, 19].”