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Controllability under positivity constraints of semilinear heat equations

Author
Pighin, Dario; Zuazua, Enrique
Entity
UAM. Departamento de Matemáticas
Publisher
American Institute of Mathematical Sciences
Date
2018-09-01
Citation
10.3934/mcrf.2018041
Mathematical Control and Related Fields 8.3-4 (2018): 935-964
 
 
 
ISSN
2156-8472 (print); 2156-8499 (online)
DOI
10.3934/mcrf.2018041
Funded by
This work was partially supported by the Advanced Grant DYCON (Dynamic Control) of the European Research Council Executive Agency, FA9550-15-1-0027 of AFOSR, FA9550-14-1-0214 of the EOARD-AFOSR, the MTM2014-52347 and MTM2017 Grants of the MINECO (Spain) and ICON of the French ANR
Project
Gobierno de España. MTM2014-52347; Gobierno de España. MTM2017-92996; info:eu-repo/grantAgreement/EC/H2020/694126/EU//DYCON
Editor's Version
https://doi.org/10.3934/mcrf.2018041
Subjects
Controllability under constraints; Dissipativity; Iterative method; Semilinear heat equations; Waiting time; Matemáticas
URI
http://hdl.handle.net/10486/688073
Note
This is a pre-copy-editing, author-produced PDF of an article accepted for publication in Mathematical Control and Related Fields following peer review. The definitive publisher-authenticated version Mathematical Control and Related Fields 8.3-4 (2018): 935-964 is available online at: http://www.aimsciences.org/article/doi/10.3934/mcrf.2018041
Rights
© 2018, American Institute of Mathematical Sciences. All rights reserved

Abstract

In many practical applications of control theory some constraints on the state and/or on the control need to be imposed. In this paper, we prove controllability results for semilinear parabolic equations under positivity constraints on the control, when the time horizon is long enough. As we shall see, in fact, the minimal controllability time turns out to be strictly positive. More precisely, we prove a global steady state constrained controllability result for a semilinear parabolic equation with C 1 nonlinearity, without sign or globally Lipschitz assumptions on the nonlinear term. Then, under suitable dissipativity assumptions on the system, we extend the result to any initial datum and any target trajectory. We conclude with some numerical simulations that confirm the theoretical results that provide further information of the sparse structure of constrained controls in minimal time
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