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Regularized Extragradient Method of Finding a Solution to an Optimal Control Problem with Inaccurately Specified Input Data
F. P. Vasil'ev, L. A. Artem'eva Faculty of Computational Mathematics and Cybernetics, Moscow State University, Moscow, 119991 Russia
Abstract:
We consider an optimal control problem described by a system of linear ordinary differential equations with boundary conditions of general form defined by inequality-type constraints in the case when the input data are inaccurately specified. In general, such problems are unstable with respect to perturbations of the input data and require the development of special stable solution methods. In this paper we propose a regularized variant of the extragradient method, study its convergence, and construct a regularizing operator.
Keywords:
optimal control problem, Lagrange function, Tikhonov function, saddle point, extragradient method, regularization method, regularizing operator.
Received: December 1, 2018 Revised: December 19, 2018 Accepted: January 14, 2019
Citation:
F. P. Vasil'ev, L. A. Artem'eva, “Regularized Extragradient Method of Finding a Solution to an Optimal Control Problem with Inaccurately Specified Input Data”, Optimal control and differential equations, Collected papers. On the occasion of the 110th anniversary of the birth of Academician Lev Semenovich Pontryagin, Trudy Mat. Inst. Steklova, 304, Steklov Math. Inst. RAS, Moscow, 2019, 137–148; Proc. Steklov Inst. Math., 304 (2019), 124–135
Linking options:
https://www.mathnet.ru/eng/tm3982https://doi.org/10.4213/tm3982 https://www.mathnet.ru/eng/tm/v304/p137
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