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Zhurnal Vychislitel'noi Matematiki i Matematicheskoi Fiziki, 2021, Volume 61, Number 2, Pages 189–205
DOI: https://doi.org/10.31857/S0044466921020137 (Mi zvmmf11193) 		 
This article is cited in 2 scientific papers (total in 2 papers)

Optimal control

Multimethod algorithms for solving complicated optimal control problems

A. I. Tyatyushkin

Matrosov Institute for System Dynamics and Control Theory of Siberian Branch of Russian Academy of Sciences, Irkutsk
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DOI: https://doi.org/10.31857/S0044466921020137
Abstract: Optimal control problems with terminal conditions without control constraints, problems with a free right trajectory end and with control constraints, and optimization problems with parameters and parameter and control constraints are considered. For each of these classes of problems, multimethod algorithms involving numerical optimal control methods that are most efficient for the given class are designed. The performance of the proposed algorithms is demonstrated using numerical solutions of complicated real-world problems.
Key words: multimethod optimization algorithms, optimal control, problems with parameters, gradient methods, maximum principle, numerical methods, iteration.
Received: 19.12.2019
Revised: 20.08.2020
Accepted: 16.09.2020
English version:
Computational Mathematics and Mathematical Physics, 2021, Volume 61, Issue 2, Pages 177–193
DOI: https://doi.org/10.1134/S0965542521020123
Bibliographic databases:
Document Type: Article
UDC: 519.68
Language: Russian
Citation: A. I. Tyatyushkin, “Multimethod algorithms for solving complicated optimal control problems”, Zh. Vychisl. Mat. Mat. Fiz., 61:2 (2021), 189–205; Comput. Math. Math. Phys., 61:2 (2021), 177–193
Citation in format AMSBIB
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    • This publication is cited in the following 2 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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