AbstractThis paper proposes a methodology for the synthesis of nonlinear finite-dimensional feedback controllers for incompressible Newtonian fluid flows described by two-dimensional Navier–Stokes equations. Combination of Galerkin's method with approximate inertial manifolds is employed for the derivation of low-order ordinary differential equation (ODE) systems that accurately describe the dominant dynamics of the flow. These ODE systems are subsequently used as the basis for the synthesis of nonlinear output feedback controllers that guarantee stability and enforce the output of the closed-loop system to follow the reference input asymptotically. The method is successfully used to synthesize nonlinear finite-dimensional output feedback c...
This monograph presents a technique, developed by the author, to design asymptotically exponentially...
In this paper, we study the stabilization of a two-dimensional Burgers equation around a stationary ...
A proper orthogonal decomposition (POD)-based model reduction technique is utilized to develop a clo...
The central objective of this research program was the development of methods for nonlinear distribu...
This paper is concerned with developing distributed parameter control laws for the governing equatio...
Dynamical systems theory can significantly contribute to the understanding and control of fluid flow...
This paper addresses the problem of obtaining low-order models of fluid flows for the purpose of des...
In this thesis we apply linear feedback control to spatially evolving flows in order to minimize dis...
A successful application of a linear controller to a two-dimensional channel flow is presented. An o...
This paper addresses the problem of designing low-order and linear robust feedback controllers that ...
Abstract. We propose a nonlinear flow control strategy using a low-dimensional Galerkin model. This ...
International audienceIn this article, we discuss the stabilization of incompressible Navier-Stokes ...
The motion of fluids, such as air or water, is central to many engineering systems of significant ec...
A novel feedback control design method is proposed to tackle nonlinear fluid flow dynamics based on ...
We consider output tracking for a class of viscous nonlinear fluid flows including the incompressibl...
This monograph presents a technique, developed by the author, to design asymptotically exponentially...
In this paper, we study the stabilization of a two-dimensional Burgers equation around a stationary ...
A proper orthogonal decomposition (POD)-based model reduction technique is utilized to develop a clo...
The central objective of this research program was the development of methods for nonlinear distribu...
This paper is concerned with developing distributed parameter control laws for the governing equatio...
Dynamical systems theory can significantly contribute to the understanding and control of fluid flow...
This paper addresses the problem of obtaining low-order models of fluid flows for the purpose of des...
In this thesis we apply linear feedback control to spatially evolving flows in order to minimize dis...
A successful application of a linear controller to a two-dimensional channel flow is presented. An o...
This paper addresses the problem of designing low-order and linear robust feedback controllers that ...
Abstract. We propose a nonlinear flow control strategy using a low-dimensional Galerkin model. This ...
International audienceIn this article, we discuss the stabilization of incompressible Navier-Stokes ...
The motion of fluids, such as air or water, is central to many engineering systems of significant ec...
A novel feedback control design method is proposed to tackle nonlinear fluid flow dynamics based on ...
We consider output tracking for a class of viscous nonlinear fluid flows including the incompressibl...
This monograph presents a technique, developed by the author, to design asymptotically exponentially...
In this paper, we study the stabilization of a two-dimensional Burgers equation around a stationary ...
A proper orthogonal decomposition (POD)-based model reduction technique is utilized to develop a clo...