Analysis of a multiplicative control problem for a nonlinear reaction–diffusion–convection equation

Abstract The control problem for a nonlinear reaction–diffusion–convection equation is studied. The role of multiplicative controls is played by the diffusion coefficient, by the mass transfer coefficient in the Robin boundary condition and also by the velocity vector. Boundary and distributed controls are also used. The solvability of the extremum problem is proved under minimal conditions on multiplicative controls. For a specified reaction coefficient optimality systems are derived for control problems. On the basis of the analysis of these systems the bang–bang principle for a distributed control is established; additionally, the local stability estimates of optimal solutions are derived with respect to small perturbations of both cost functionals and of one of specified functions from the boundary value problem.

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Publication Details

Journal
Journal of Inverse and Ill-Posed Problems
Published
2025-11-10
DOI
https://doi.org/10.1515/jiip-2025-0045
Primary Topic
Stability and Controllability of Differential Equations
Type
article
Field-Weighted Citation Impact
0.00
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article

Analysis of a multiplicative control problem for a nonlinear reaction–diffusion–convection equation

Р. В. Бризицкий, Angelina A. Donchak
Journal of Inverse and Ill-Posed Problems
Stability and Controllability of Differential Equations
article

Analysis of a multiplicative control problem for a nonlinear reaction–diffusion–convection equation

Р. В. Бризицкий, Angelina A. Donchak
article en

Abstract

Abstract The control problem for a nonlinear reaction–diffusion–convection equation is studied. The role of multiplicative controls is played by the diffusion coefficient, by the mass transfer coefficient in the Robin boundary condition and also by the velocity vector. Boundary and distributed controls are also used. The solvability of the extremum problem is proved under minimal conditions on multiplicative controls. For a specified reaction coefficient optimality systems are derived for control problems. On the basis of the analysis of these systems the bang–bang principle for a distributed control is established; additionally, the local stability estimates of optimal solutions are derived with respect to small perturbations of both cost functionals and of one of specified functions from the boundary value problem.

Journal of Inverse and Ill-Posed Problems
Far Eastern Federal University (RU), Institute of Applied Mathematics (RU)
Openalex Percentile: Top 57%
Stability and Controllability of Differential Equations
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