Model Predictive Control in Aerospace Systems: Current State and Opportunities

By Utku Eren, Anna Prach, B. B. Kocer, Sasa V. Rakovic, Erdal Kayacan, Behçet Açikmese. 2017

317 citations recorded by the source corpus.

Subfields: Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/bf5facc12f80a61b148bd15f6216af53a7c5c833

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. Steven L. Brunton
2. J. Nathan Kutz
3. Eurika Kaiser
4. Joshua L. Proctor
5. Maizar Raissi
6. Bingni W. Brunton
7. Igor Mezi'c
8. G. Em Karniadakis

Citations in the corpus

• Data-driven discovery of Koopman eigenfunctions for control (2017, background): “el predictive control has gained increasing popularity over the last decade due to its success in a wide range of applications and its ability to incorporate customized cost functions and constraints [26,3,40]. 5. Identifying Koopman eigenfunctions from data. The overarching goal of this work is to ”