Algorithms for shear flow control and optimization
METADATA ONLY
Loading...
Author / Producer
Date
1999
Publication Type
Conference Paper
ETH Bibliography
yes
Citations
Altmetric
METADATA ONLY
Data
Rights / License
Abstract
We present an outline of our research efforts in the area of flow control and optimization. We focus on identifying low order models that can be implemented in active control strategies using (i) our understanding of fundamental physical processes such as vorticity generation and (ii) machine learning and optimization algorithms such as neural networks and evolution strategies. The results presented encompass a wide variety of problems, such as drag minimization, neural net modeling of the near wall structures, enhanced jet mixing and parameter optimization in turbine blade film cooling.
Permanent link
Publication status
published
External links
Editor
Book title
Proceedings of the 38th IEEE Conference on Decision and Control
Journal / series
Volume
3
Pages / Article No.
2839 - 2844
Publisher
IEEE
Event
38th IEEE Conference on Decision and Control (CDC 1999)
Edition / version
Methods
Software
Geographic location
Date collected
Date created
Subject
Organisational unit
03499 - Koumoutsakos, Petros (ehemalig) / Koumoutsakos, Petros (former)