Proceedings of the 2018 International Conference on Mathematics, Modeling, Simulation and Statistics Application (MMSSA 2018)

Perturbation Methods for Maximum Principle in Optimal Control Problems

Authors
Buldaev A.S., A.S. Buldaev, I.D. Burlakov, V.D. Anakhin
Corresponding Author
Buldaev A.S.
Available Online January 2019.
DOI
10.2991/mmssa-18.2019.27How to use a DOI?
Keywords
optimal control problem; conditions of the maximum principle; perturbation methods
Abstract

Iterative methods for searching of extreme controls (satisfying the maximum principle), which are based on the theory and methods of perturbation of necessary conditions for optimality, are suggested. The methods are characterized by computationally stable alternating solution of phase and conjugate systems of variables and the absence of labor-intensive operations of convex or needle variation of the improving control.

Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 International Conference on Mathematics, Modeling, Simulation and Statistics Application (MMSSA 2018)
Series
Advances in Intelligent Systems Research
Publication Date
January 2019
ISBN
978-94-6252-661-7
ISSN
1951-6851
DOI
10.2991/mmssa-18.2019.27How to use a DOI?
Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Buldaev A.S.
AU  - A.S. Buldaev
AU  - I.D. Burlakov
AU  - V.D. Anakhin
PY  - 2019/01
DA  - 2019/01
TI  - Perturbation Methods for Maximum Principle in Optimal Control Problems
BT  - Proceedings of the 2018 International Conference on Mathematics, Modeling, Simulation and Statistics Application (MMSSA 2018)
PB  - Atlantis Press
SP  - 113
EP  - 116
SN  - 1951-6851
UR  - https://doi.org/10.2991/mmssa-18.2019.27
DO  - 10.2991/mmssa-18.2019.27
ID  - A.S.2019/01
ER  -