The paper is concerned with optimal control problems for a parabolic system, coupled with zero Neumann boundary conditions and with nonlinear source terms. Inspired by applications in biology and medicine, the system aims to describe two species in competition in the same spatial region and is supplemented with measure valued distributed controls, acting as source terms. Introducing general cost functionals, one can study optimal control problems. We prove the existence of solutions for the parabolic equations with measure valued controls, together with suitable stability estimates. Moreover, the existence of optimal solutions in a distributional sense is also established.

Coclite, G., Garavello, M. (2022). Measure Optimal Controls for Models Inspired by Biology. SIAM JOURNAL ON CONTROL AND OPTIMIZATION, 60(5), 3051-3077 [10.1137/21M146332X].

Measure Optimal Controls for Models Inspired by Biology

Garavello, M
2022

Abstract

The paper is concerned with optimal control problems for a parabolic system, coupled with zero Neumann boundary conditions and with nonlinear source terms. Inspired by applications in biology and medicine, the system aims to describe two species in competition in the same spatial region and is supplemented with measure valued distributed controls, acting as source terms. Introducing general cost functionals, one can study optimal control problems. We prove the existence of solutions for the parabolic equations with measure valued controls, together with suitable stability estimates. Moreover, the existence of optimal solutions in a distributional sense is also established.
Articolo in rivista - Articolo scientifico
fish harvest; mathematical models for biology; measure valued solutions; optimal control;
English
10-ott-2022
2022
60
5
3051
3077
none
Coclite, G., Garavello, M. (2022). Measure Optimal Controls for Models Inspired by Biology. SIAM JOURNAL ON CONTROL AND OPTIMIZATION, 60(5), 3051-3077 [10.1137/21M146332X].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/397594
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