Stabilizability of Parabolic Equations by Switching Controls Based on Point Actuators
| dc.contributor.author | Azmi, Behzad | |
| dc.contributor.author | Kunisch, Karl | |
| dc.contributor.author | Rodrigues, Sérgio S. | |
| dc.date.accessioned | 2026-02-25T10:28:24Z | |
| dc.date.available | 2026-02-25T10:28:24Z | |
| dc.date.issued | 2026-04 | |
| dc.description.abstract | It is shown that a switching control involving a finite number of Dirac delta actuators is able to steer the state of a general class of nonautonomous parabolic equations to zero as time increases to infinity. The strategy is based on a recent feedback stabilizability result, which utilizes control forces given by linear combinations of appropriately located Dirac delta distribution actuators. Then, the existence of a stabilizing switching control with no more than one actuator is active at each time instant is established. For the implementation in practice, the stabilization problem is formulated as an infinite-horizon optimal control problem, with cardinality-type control constraints enforcing the switching property. Subsequently, this problem is tackled using a receding horizon framework. Its suboptimality and stabilizing properties are analyzed. Numerical simulations validate the approach, illustrating its stabilizing and switching properties. | |
| dc.description.version | published | deu |
| dc.identifier.doi | 10.1007/s00245-025-10381-0 | |
| dc.identifier.uri | https://kops.uni-konstanz.de/handle/123456789/76337 | |
| dc.language.iso | eng | |
| dc.rights | Attribution 4.0 International | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
| dc.subject.ddc | 510 | |
| dc.title | Stabilizability of Parabolic Equations by Switching Controls Based on Point Actuators | eng |
| dc.type | JOURNAL_ARTICLE | |
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| kops.citation.bibtex | @article{Azmi2026-04Stabi-76337,
title={Stabilizability of Parabolic Equations by Switching Controls Based on Point Actuators},
year={2026},
doi={10.1007/s00245-025-10381-0},
number={2},
volume={93},
issn={0095-4616},
journal={Applied Mathematics & Optimization},
author={Azmi, Behzad and Kunisch, Karl and Rodrigues, Sérgio S.},
note={Article Number: 35}
} | |
| kops.citation.iso690 | AZMI, Behzad, Karl KUNISCH, Sérgio S. RODRIGUES, 2026. Stabilizability of Parabolic Equations by Switching Controls Based on Point Actuators. In: Applied Mathematics & Optimization. Springer. 2026, 93(2), 35. ISSN 0095-4616. eISSN 1432-0606. Verfügbar unter: doi: 10.1007/s00245-025-10381-0 | deu |
| kops.citation.iso690 | AZMI, Behzad, Karl KUNISCH, Sérgio S. RODRIGUES, 2026. Stabilizability of Parabolic Equations by Switching Controls Based on Point Actuators. In: Applied Mathematics & Optimization. Springer. 2026, 93(2), 35. ISSN 0095-4616. eISSN 1432-0606. Available under: doi: 10.1007/s00245-025-10381-0 | eng |
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<dcterms:abstract>It is shown that a switching control involving a finite number of Dirac delta actuators is able to steer the state of a general class of nonautonomous parabolic equations to zero as time increases to infinity. The strategy is based on a recent feedback stabilizability result, which utilizes control forces given by linear combinations of appropriately located Dirac delta distribution actuators. Then, the existence of a stabilizing switching control with no more than one actuator is active at each time instant is established. For the implementation in practice, the stabilization problem is formulated as an infinite-horizon optimal control problem, with cardinality-type control constraints enforcing the switching property. Subsequently, this problem is tackled using a receding horizon framework. Its suboptimality and stabilizing properties are analyzed. Numerical simulations validate the approach, illustrating its stabilizing and switching properties.</dcterms:abstract>
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| kops.sourcefield | Applied Mathematics & Optimization. Springer. 2026, <b>93</b>(2), 35. ISSN 0095-4616. eISSN 1432-0606. Verfügbar unter: doi: 10.1007/s00245-025-10381-0 | deu |
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| kops.sourcefield.plain | Applied Mathematics & Optimization. Springer. 2026, 93(2), 35. ISSN 0095-4616. eISSN 1432-0606. Available under: doi: 10.1007/s00245-025-10381-0 | eng |
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