2008
DOI: 10.1002/mma.1052
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Polynomial and analytic stabilization of a wave equation coupled with an Euler–Bernoulli beam

Abstract: SUMMARYWe consider a stabilization problem for a model arising in the control of noise. We prove that in the case where the control zone does not satisfy the geometric control condition, B.L.R. (see Bardos et al. SIAM J. Control Optim. 1992; 30:1024-1065), we have a polynomial stability result for all regular initial data. Moreover, we give a precise estimate on the analyticity of reachable functions where we have an exponential stability.

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Cited by 8 publications
(10 citation statements)
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“…If ω = ω n for some n ∈ I, then Re P (iω n ) > 0 and assumption (3) imply that S A (iω n ) is boundedly invertible. Thus {iω k } k∈I ⊂ ρ(A e ).…”
Section: Stability Of Coupled Passive Systemsmentioning
confidence: 99%
See 2 more Smart Citations
“…If ω = ω n for some n ∈ I, then Re P (iω n ) > 0 and assumption (3) imply that S A (iω n ) is boundedly invertible. Thus {iω k } k∈I ⊂ ρ(A e ).…”
Section: Stability Of Coupled Passive Systemsmentioning
confidence: 99%
“…x e (t) = A e x e (t), x e (0) = x e0 ∈ X e (1. 3) on the Hilbert space X e = X × Z. The notation (A c , B c , C c , D c ) and our results on the closed-loop stability are motivated by the second part of the paper where we study robust output tracking and disturbance rejection for the system (1.1).…”
Section: Introductionmentioning
confidence: 99%
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“…Proof of the first assertion of the Theorem 2.1. For this proof, we need a result of the following lemma inspired by [19] (see also [7]).…”
Section: Some Background On a Class Of Dynamical Systemsmentioning
confidence: 99%
“…The study on these distributed parameter networks has caught much attention in mathematics and engineering since 80's last century. Many nice results are available, covering the controllability, observability and stabilization of the networks (e.g., [1,3,7,9,11,13,14,17,19]). Most of them are concerned with 1-D wave and beam equation expanded on simple graphs, while a few focus on the complex networks which have a number of edges and complicated connections.…”
Section: Introductionmentioning
confidence: 99%