2019
DOI: 10.1109/tac.2019.2915003
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PI Controllers for 1-D Nonlinear Transport Equation

Abstract: In this paper, we introduce a method to get necessary and sufficient stability conditions for systems governed by 1-D nonlinear hyperbolic partial-differential equations with closed-loop integral controllers, when the linear frequency analysis cannot be used anymore. We study the stability of a general nonlinear transport equation where the control input and the measured output are both located on the boundaries. The principle of the method is to extract the limiting part of the stability from the solution usi… Show more

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Cited by 34 publications
(28 citation statements)
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References 20 publications
(38 reference statements)
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“…Assumption 4. The pair (S, HQ) is detectable 1 , with Q given by Assumption 2 and H defined as in (6).…”
Section: Sufficient Condition For Exponential Stabilitymentioning
confidence: 99%
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“…Assumption 4. The pair (S, HQ) is detectable 1 , with Q given by Assumption 2 and H defined as in (6).…”
Section: Sufficient Condition For Exponential Stabilitymentioning
confidence: 99%
“…where, in the last line, we have used the definition of H given in (6). Then, using the Young's inequality, one obtains, for every ν > 0…”
Section: B Proof Of Theoremmentioning
confidence: 99%
See 1 more Smart Citation
“…More recently, the problem of PI boundary control of linear hyperbolic systems has been reported in a number of works [12,19,27,48]. This research direction has then been extended to the case of nonlinear transport equations [11,14,20,23,37,45]. The case of the boundary regulation control of the Neumann trace for a linear reaction-diffusion in the presence of an input delay was considered in [29].…”
Section: Introductionmentioning
confidence: 99%
“…Regulation control of finite-dimensional systems are very classical problems that have been widely investigated [1,6]. This work considers the problem of regulation of distributed parameter systems [2,3,14,16,17]. This class of systems succeeds to model many dynamical systems, such as heat dynamics, chemical reactors, fluid mechanical systems, among many other potential applications (see [4] for a general reference).…”
Section: Introductionmentioning
confidence: 99%