New Directions in Flow Control

Flow control refers to the ability to manipulate
fluid flow so as to achieve a desired change in its
behavior, which offers many potential technological
benefits, such as reducing fuel costs for vehicles
and improving effectiveness of industrial processes.
Presently there is a lack of sufficient mathematical
analysis and control design tools for flow control
problems. This includes mathematical models that are
amenable to control design. The research presented in
this book makes an effort at closing this gap by 1)
presenting a reduced-order modeling method utilizing
a novel technique for input separation on Proper
Orthogonal Decomposition (POD)/Galerkin Projection
(GP) based models, 2) introducing a technique based
on averaging theory and center manifold theory so as
to reveal certain structures embedded in the model,
and 3) developing nonlinear analysis and control
design approaches for the resulting model. The theory
is complemented by examples and case studies as
appropriate, including the case of cavity flow
control.

Autorentext
Dr. Co ku Kasnako lu is a faculty member with the Department of
Electrical and Electronics Engineering at TOBB University of
Economics and Technology in Ankara, Turkey. His research interests
include reduced order modeling, nonlinear analysis and
control design for flow control problems.

Klappentext
Flow control refers to the ability to manipulate fluid flow so as to achieve a desired change in its behavior, which offers many potential technological benefits, such as reducing fuel costs for vehicles and improving effectiveness of industrial processes. Presently there is a lack of sufficient mathematical analysis and control design tools for flow control problems. This includes mathematical models that are amenable to control design. The research presented in this book makes an effort at closing this gap by 1) presenting a reduced-order modeling method utilizing a novel technique for input separation on Proper Orthogonal Decomposition (POD)/Galerkin Projection (GP) based models, 2) introducing a technique based on averaging theory and center manifold theory so as to reveal certain structures embedded in the model, and 3) developing nonlinear analysis and control design approaches for the resulting model. The theory is complemented by examples and case studies as appropriate, including the case of cavity flow control.