2021
DOI: 10.1016/j.jde.2020.10.017
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Optimization and discrete approximation of sweeping processes with controlled moving sets and perturbations

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Cited by 14 publications
(15 citation statements)
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“…Note that results of this type in the W 1,2 controltrajectory framework we obtained in [31,32,33] for various types of sweeping processes under appropriate assumptions in separable Hilbert spaces. Similar preservation results of class W 1,2 were established in [9] in finite dimensions under the strong uniform Slater condition (2.12) reducing to (2.11) as we now know. Observe also that results of this type in class of W 1,1 were derived in [13,12] for polyhedral sweeping processes in finite-dimensional spaces under essentially stronger qualification conditions than (2.11) used in what follows.…”
Section: Existence and Uniqueness Of Sweeping Solutionssupporting
confidence: 84%
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“…Note that results of this type in the W 1,2 controltrajectory framework we obtained in [31,32,33] for various types of sweeping processes under appropriate assumptions in separable Hilbert spaces. Similar preservation results of class W 1,2 were established in [9] in finite dimensions under the strong uniform Slater condition (2.12) reducing to (2.11) as we now know. Observe also that results of this type in class of W 1,1 were derived in [13,12] for polyhedral sweeping processes in finite-dimensional spaces under essentially stronger qualification conditions than (2.11) used in what follows.…”
Section: Existence and Uniqueness Of Sweeping Solutionssupporting
confidence: 84%
“…However, this does not make much sense when the moving set is an unbounded polyhedron. The W 1,2 -preserving existence and uniqueness results for moving polyhedra were obtained by Tolstonogov [31,32,33] and more recently in [9] under certain qualification conditions in Hilbert and finite-dimensional settings; see more discussions in Section 3. Here we develop a novel approach involving the truncation of polyhedra and deriving refined error bounds.…”
Section: Introduction and Problem Formulationmentioning
confidence: 92%
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