2017 IEEE Conference on Control Technology and Applications (CCTA) 2017
DOI: 10.1109/ccta.2017.8062492
|View full text |Cite
|
Sign up to set email alerts
|

Space-selective nonlinear reduced-order models for turbulent boundary layer drag reduction

Lorenz Pyta
1
,
Pascal S. Meysonnat
2
,
Wolfgang Schröder
3
et al.
Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2018
2018
2019
2019

Publication Types

Select...
2
1

Relationship

1
2

Authors

Journals

citations
Cited by 3 publications
(1 citation statement)
references
References 20 publications
0
1
0
Order By: Relevance
“…The control law used in this study is shown in Fig. 1, where a extremum seeking controller is used to determine the optimum amplitude for the highest drag reduction [6]. The integrated drag coefficient c d is measured in the turbulent boundary layer LES and compared to the value that is continuously estimated for the current amplitude.…”
Section: Numerical Methods and Flow Configurationmentioning
confidence: 99%

Closed‐loop control of turbulent boundary layers using spanwise traveling surface waves

Albers
1
,
Meysonnat
2
,
Schröder
3
2018
Proc Appl Math and Mech
Self Cite
0
0
0
0
View full textAdd to dashboardCite
show abstract
“…The control law used in this study is shown in Fig. 1, where a extremum seeking controller is used to determine the optimum amplitude for the highest drag reduction [6]. The integrated drag coefficient c d is measured in the turbulent boundary layer LES and compared to the value that is continuously estimated for the current amplitude.…”
Section: Numerical Methods and Flow Configurationmentioning
confidence: 99%

Closed‐loop control of turbulent boundary layers using spanwise traveling surface waves

Albers
1
,
Meysonnat
2
,
Schröder
3
2018
Proc Appl Math and Mech
Self Cite
0
0
0
0
View full textAdd to dashboardCite
show abstract

Iterative Learning Control and Decoupling of Lorentz Force Based Actuator Systems for Turbulence Research

Seidler
1
,
Schiek
2
,
Silex
3
et al. 2018
2018 IEEE Conference on Control Technology and Applications (CCTA)
1
0
0
0
View full textAdd to dashboardCite

Iterative Learning Wave Control of a 20 Actuator System for External Flow Research

Seidler
1
,
Schiek
2
,
Silex
3
et al. 2019
2019 6th International Conference on Control, Decision and Information Technologies (CoDIT)
0
0
0
0
View full textAdd to dashboardCite
scite logo

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Product
Browser ExtensionAssistant by sciteCitation Statement SearchReference CheckVisualizationsDashboardsExplore JournalsExplore OrganizationsExplore FundersEmbedding BadgeEmbedding Citation SearchPricing
Resources
BlogHelp & FAQAccessibility StatementAPI TermsFor Universities & GovernmentsFor ResearchersFor PublishersFor Corporate, Pharma & EnterpriseAuthor MarketingBecome an AffiliateGet an organization trial or quotescite Data & Services
About
News & PressCareersRead our PaperCoverage

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

BlogTerms and ConditionsAPI TermsPrivacy PolicyContactCookie PreferencesDo Not Sell or Share My Personal Information

Copyright © 2025 scite LLC. All rights reserved.

Made with 💙 for researchers

Part of the Research Solutions Family.