2022
DOI: 10.3934/mcrf.2021006
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Internal rapid stabilization of a 1-D linear transport equation with a scalar feedback

Abstract: We use a variant the backstepping method to study the stabilization of a 1-D linear transport equation on the interval (0, L), by controlling the scalar amplitude of a piecewise regular function of the space variable in the source term. We prove that if the system is controllable in a periodic Sobolev space of order greater than 1, then the system can be stabilized exponentially in that space and, for any given decay rate, we give an explicit feedback law that achieves that decay rate. The variant of the backs… Show more

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Cited by 13 publications
(19 citation statements)
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“…As of late, the Fredholm transformation was introduced for the backstepping method as an alternative for certain limitations of the Volterra transformation. In particular, it seems better suited for internal stabilization problems [16,51]. The idea of using transformations remains the same, but proving the existence and invertibility of the transformation is generally more involved.…”
Section: Related Results: the Heat Equation And The Backstepping Methodsmentioning
confidence: 99%
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“…As of late, the Fredholm transformation was introduced for the backstepping method as an alternative for certain limitations of the Volterra transformation. In particular, it seems better suited for internal stabilization problems [16,51]. The idea of using transformations remains the same, but proving the existence and invertibility of the transformation is generally more involved.…”
Section: Related Results: the Heat Equation And The Backstepping Methodsmentioning
confidence: 99%
“…There are mainly two ways to prove the existence of the transformation, either by direct methods [18,19] or, more commonly, by proving the existence of a Riesz basis. For the latter, we again distinguish two cases: either the Riesz basis is deduced directly by an isomorphism applied on an eigenbasis [17,50,51] or the existence of a Riesz basis follows by controllability assumptions and sufficient growth of the eigenvalues of the spatial operator allowing in particular to prove that the family is quadratically close to the eigenfunctions [16,20,21,27] (see Section 2.2 and Section 4 for a definition).…”
Section: Related Results: the Heat Equation And The Backstepping Methodsmentioning
confidence: 99%
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