2018
DOI: 10.1109/tac.2018.2836018
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Control and State Estimation of the One-Phase Stefan Problem via Backstepping Design

Abstract: This paper develops a control and estimation design for the one-phase Stefan problem. The Stefan problem represents a liquid-solid phase transition as time evolution of a temperature profile in a liquid-solid material and its moving interface. This physical process is mathematically formulated as a diffusion partial differential equation (PDE) evolving on a time-varying spatial domain described by an ordinary differential equation (ODE). The state-dependency of the moving interface makes the coupled PDE-ODE sy… Show more

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Cited by 44 publications
(52 citation statements)
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“…The definition of the classical solution of the Stefan problem can be seen in the literature, for instance see appendix A in Reference . The proof of Lemma is provided by maximum principle as shown in Reference .…”
Section: Description Of the Physical Processmentioning
confidence: 99%
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“…The definition of the classical solution of the Stefan problem can be seen in the literature, for instance see appendix A in Reference . The proof of Lemma is provided by maximum principle as shown in Reference .…”
Section: Description Of the Physical Processmentioning
confidence: 99%
“…The control objective is to drive the moving interface s ( t ) to a desired setpoint s r by manipulating the heat flux q c ( t ). As derived in Reference , the steady‐state solution of the temperature profile T eq ( x ) governed by the Stefan problems to with setting the equilibrium interface position as the setpoint s r is uniquely given by the uniform melting temperature, namely, T eq ( x )= T m for all x ∈[0, s r ]. Hence, the primary objective is driving s ( t ) to s r , and consequently the convergence of T ( x , t ) to T m for all x ∈[0, s ( t )] is required: we aim to achieve sfalse(tfalse)snormalr,1emTfalse(x,tfalse)Tnormalm1emfor all1emxfalse[0,sfalse(tfalse)false],1emas1emt,0em for given ( T 0 ( x ), s 0 ) which satisfies Assumption .…”
Section: Control Problem Statementmentioning
confidence: 99%
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