Reduced-order adaptive controllers for MHD flows using proper orthogonal decomposition

S.S Ravindran

doi:10.1109/cdc.2001.980631

Reduced-order adaptive controllers for MHD flows using proper orthogonal decomposition

S.S Ravindran

https://doi.org/10.1109/cdc.2001.980631

Copy DOI

Publication Date: Dec 4, 2001

Citations: 5

Affiliation: University of Alabama in Huntsville

#Reduced-order Adaptive Controller #Reduced-order Model + Show 8 more

Abstract
Full-Text
Similar Papers

Abstract

We present a reduced-order adaptive controller design for MHD flows. Frequently, reduced-order models are derived from low-order bases computed by applying proper orthogonal decomposition (POD) on an a priori ensemble of data of ow model. This reduced-order model is then used-to derive a reduced-order controller. The approach discussed here differs from these approaches. It. uses an adaptive procedure that improves the reduced-order model by successively updating the ensemble of data. The idea is illustrated on a control problem in unsteady magneto-hydrodynamic (MHD) flows. Numerical implementations and results are provided illustrating feasibility.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Similar Papers

Paper Title

Journal

Date

Author

View more papers

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.