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In the paper, the problem of dynamic reconstruction of controls and trajectories for deterministic control-affine systems is considered. The reconstruction is performed in real time using known discrete inaccurate measurements of the observed trajectory of the system. This trajectory is generated by an unknown measurable control that satisfies known geometric constraints. A well-posed statement of the problem is given. A solution is proposed using the variational approach developed by the authors. This approach uses auxiliary variational problem with regularized integral residual functional. The integrant of the functional is a d.c. function. The suggested algorithm reduces the reconstruction problem to integration of Hamiltonian systems of ordinary differential equations. This paper offers a method for construction of piecewise-constant approximations that satisfy the given geometric control constraints. The approximations converge almost everywhere to the desired control, and the reconstructed trajectories of the dynamical system converge uniformly to the observed trajectory. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Язык оригиналаАнглийский
Название основной публикацииInternational Conference on Differential Equations, Mathematical Modeling and Computational Algorithms, DEMMCA 2021
Подзаголовок основной публикацииConference Proceeding
РедакторыV. Vasilyev
ИздательSpringer
ГлаваChapter 16
Страницы227-242
Число страниц16
ISBN (печатное издание)978-303128504-2
DOI
СостояниеОпубликовано - 2023

Серия публикаций

НазваниеSpringer Proceedings in Mathematics and Statistics
Том423
ISSN (печатное издание)2194-1009
ISSN (электронное издание)2194-1017

    Предметные области ASJC Scopus

  • Математика в целом

ID: 41593248