This paper addresses the problem of designing low-order and linear robust feedback controllers that provide a priori guarantees with respect to stability and performance when applied to a fluid flow. This is challenging, since whilst many flows are governed by a set of nonlinear, partial differential–algebraic equations (the Navier–Stokes equations), the majority of established control system design assumes models of much greater simplicity, in that they are: firstly, linear; secondly, described by ordinary differential equations (ODEs); and thirdly, finite-dimensional. With this in mind, we present a set of techniques that enables the disparity between such models and the underlying flow system to be quantified in a fashion that informs th...
We develop a reduced-order-model framework using the parabolized stability equations and identificat...
International audienceThis paper investigates the control of self-excited oscillations in spatially ...
Motivated by the need to efficiently obtain low-order models of fluid flows around complex geometrie...
This paper addresses the problem of designing low-order and linear robust feedback controllers that ...
This paper addresses the problem of obtaining low-order models of fluid flows for the purpose of des...
This paper addresses the problem of obtaining low-order models of fluid flows for the purpose of des...
The motion of fluids, such as air or water, is central to many engineering systems of significant e...
Dynamical systems theory can significantly contribute to the understanding and control of fluid flow...
The problems of nonlinearity and high dimension have so far prevented a complete solution of the con...
The problems of nonlinearity and high dimension have so far prevented a complete solution of the con...
The problem of controlling or delaying transition to turbulence in shear flows has been the subject ...
International audienceThis work proposes a feedback-loop strategy to suppress intrinsic oscillations...
International audienceThis paper investigates the control of self-excited oscillations in spatially ...
This paper describes a robust linear time-invariant output-feedback control strategy to reduce turbu...
A robust nonlinear control method is developed for fluid flow velocity tracking, which formally addr...
We develop a reduced-order-model framework using the parabolized stability equations and identificat...
International audienceThis paper investigates the control of self-excited oscillations in spatially ...
Motivated by the need to efficiently obtain low-order models of fluid flows around complex geometrie...
This paper addresses the problem of designing low-order and linear robust feedback controllers that ...
This paper addresses the problem of obtaining low-order models of fluid flows for the purpose of des...
This paper addresses the problem of obtaining low-order models of fluid flows for the purpose of des...
The motion of fluids, such as air or water, is central to many engineering systems of significant e...
Dynamical systems theory can significantly contribute to the understanding and control of fluid flow...
The problems of nonlinearity and high dimension have so far prevented a complete solution of the con...
The problems of nonlinearity and high dimension have so far prevented a complete solution of the con...
The problem of controlling or delaying transition to turbulence in shear flows has been the subject ...
International audienceThis work proposes a feedback-loop strategy to suppress intrinsic oscillations...
International audienceThis paper investigates the control of self-excited oscillations in spatially ...
This paper describes a robust linear time-invariant output-feedback control strategy to reduce turbu...
A robust nonlinear control method is developed for fluid flow velocity tracking, which formally addr...
We develop a reduced-order-model framework using the parabolized stability equations and identificat...
International audienceThis paper investigates the control of self-excited oscillations in spatially ...
Motivated by the need to efficiently obtain low-order models of fluid flows around complex geometrie...