Robust multi-objective optimal control of uncertain (bio)chemical processes

By Filip Logist, Boris Houska, Moritz Diehl, Jan F. M. Van Impe. 2011

99 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/3936007c80317e6b5707c7bb5d7e703f6c1c0641

How researchers see this paper

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

In Computational Theory and Mathematics

1. Kok Lay Teo
2. Jan F. M. Van Impe
3. L. Caccetta
4. Boris Houska
5. Filip Logist

In Control and Systems Engineering

1. Kok Lay Teo
2. Jan F. M. Van Impe
3. Boris Houska
4. Mattia Vallerio
5. Filip Logist
6. Dries Telen
7. Lorenzo Cabianca
8. Zhaohua Gong

Citations in the corpus

• Approximate robust optimization of nonlinear systems under parametric uncertainty and process noise (2015, background): “, Nagy and Braatz (2004)).”
• Robust multi-objective optimal switching control arising in 1,3-propanediol microbial fed-batch process (2017, background): “As a result, scalarization approaches have been extensively used to solve MOC problems in biochemical processes [34, 35].”