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This article is cited in 5 scientific papers (total in 5 papers)
Approximation of minimax solutions to Hamilton-Jacobi functional equations for delay systems
M. I. Gomoyunovab, N. Yu. Lukoyanovab, A. R. Plaksinab a Institute of Mathematics and Mechanics, Ural Branch of the Russian Academy of Sciences, Ekaterinburg
b Ural Federal University named after the First President of Russia B. N. Yeltsin, Ekaterinburg
Abstract:
A minimax solution of the Cauchy problem for a functional Hamilton-Jacobi equation with coinvariant derivatives and a condition at the right end is considered. Hamilton-Jacobi equations of this type arise in dynamical optimization problems for time-delay systems. Their approximation is associated with additional questions of the correct transition from the infinite-dimensional functional argument of the desired solution to the finite-dimensional one. Earlier, the schemes based on the piecewise linear approximation of the functional argument and the correctness properties of minimax solutions were studied. In this paper, a scheme for the approximation of Hamilton-Jacobi functional equations with coinvariant derivatives by ordinary Hamilton-Jacobi equations with partial derivatives is proposed and justified. The scheme is based on the approximation of the characteristic functional-differential inclusions used in the definition of the desired minimax solution by ordinary differential inclusions.
Keywords:
Hamilton-Jacobi equations, generalized solutions, coinvariant derivatives, finite-dimensional approximations, time-delay systems.
Received: 01.10.2017
Citation:
M. I. Gomoyunov, N. Yu. Lukoyanov, A. R. Plaksin, “Approximation of minimax solutions to Hamilton-Jacobi functional equations for delay systems”, Trudy Inst. Mat. i Mekh. UrO RAN, 24, no. 1, 2018, 53–62; Proc. Steklov Inst. Math. (Suppl.), 304, suppl. 1 (2019), S68–S75
Linking options:
https://www.mathnet.ru/eng/timm1496 https://www.mathnet.ru/eng/timm/v24/i1/p53
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