Hamiltonian systems for control reconstruction problems
Minimax theory and its applications, Tome 5 (2020) no. 2
We present and justify a new algorithm for solving dynamic reconstruction problems. The algorithm is based on solutions of Hamiltonian systems that arise in auxiliary variational problems with concave-convex discrepancy functionals. Modifications of Hamiltonian systems, improving the effectiveness of the new algorithm, are suggested and justified. Results of numerical solutionof a reconstruction problem in medicine are reported.
Mots-clés :
Dynamic reconstruction problems, convex-concave discrepancy, variational problems, Hamiltonian systems
@article{MTA_2020_5_2_a15,
author = {Nina N. Subbotina and Evgenii A. Krupennikov},
title = {Hamiltonian systems for control reconstruction problems},
journal = {Minimax theory and its applications},
year = {2020},
volume = {5},
number = {2},
zbl = {1452.65131},
url = {http://geodesic.mathdoc.fr/item/MTA_2020_5_2_a15/}
}
Nina N. Subbotina; Evgenii A. Krupennikov. Hamiltonian systems for control reconstruction problems. Minimax theory and its applications, Tome 5 (2020) no. 2. http://geodesic.mathdoc.fr/item/MTA_2020_5_2_a15/