Proceedings of Control Systems: Theory, Numerics and Applications — PoS(CSTNA2005) 2006
DOI: 10.22323/1.018.0003
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Local Boundary Feedback Stabilization of the Navier-Stokes Equations

Abstract: We study the exponential stabilization of the linearized Navier-Stokes equations around an unstable stationary solution, by means of a feedback boundary control, in dimension 2 or 3. The feedback law is determined by solving a Linear-Quadratic control problem. We do not assume that the normal component of the control is equal to zero. In that case the state equation, satisfied by the velocity field y, is decoupled into an evolution equation satisfied by Py, where P is the so-called Helmholtz projection operato… Show more

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Cited by 11 publications
(14 citation statements)
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References 17 publications
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“…Here, motivated by stabilization problems [22,23], we would like to find optimal regularity results for the solution to the Stokes and the Oseen equations when g belongs to the space We are also interested in finding a sufficient condition on g so that a weak solution to Eq. (1.1) exists in the case where κ = 1.…”
Section: Introductionmentioning
confidence: 99%
“…Here, motivated by stabilization problems [22,23], we would like to find optimal regularity results for the solution to the Stokes and the Oseen equations when g belongs to the space We are also interested in finding a sufficient condition on g so that a weak solution to Eq. (1.1) exists in the case where κ = 1.…”
Section: Introductionmentioning
confidence: 99%
“…Finally mention that in the three dimensional case, the stabilization of the nonlinear problem cannot be treated with the same tools and requires a more delicate analysis [31,32].…”
Section: An Algebraic Riccati Equation Is Stated Only In D((a π )mentioning
confidence: 99%
“…The feedback stabilization of laminar flows based on controllers designed to attenuate deviations from a stationary working point has got a substantial theoretical foundation, see Raymond (2005Raymond ( , 2006. The basic idea is to linearize the model about an unstable target steady-state and to define a controller based on the linearization that is capable to damp small perturbations of the target state also in the actual nonlinear model.…”
Section: Introductionmentioning
confidence: 99%