Informatics and Applications

2020, Volume 14, Issue 1, pp 24-30

STOCHASTIC DIFFERENTIAL SYSTEM OUTPUT CONTROL BY THE QUADRATIC CRITERION. IV. ALTERNATIVE NUMERICAL DECISION

  • A. V. Bosov
  • A. I. Stefanovich

Abstract

In the study of the optimal control problem for the Ito diffusion process and the controlled linear output with a quadratic quality criterion, an intermediate result is resumed: for approximate calculation of the optimal solution, an alternative to classical numerical integration method based on computer simulation is proposed. The method allows applying statistical estimation to determine the coefficients @t(y) and Yt(y) of the previously obtained Bellman function Vt(y, z) = atz2 + â(y)z + Yt(y), determining the optimal solution in the original problem of optimal stochastic control. The method is implemented on the basis of the properties of linear parabolic partial differential equations describing @t(y) and Yt(y) - their equivalent description in the form of stochastic differential equations and a theoretical-probability representation of the solution, known as A. N. Kolmogorov equation, or an equivalent integral form known as the Feynman-Katz formula. Stochastic equations, relations for optimal control and for auxiliary parameters are combined into one differential system, for which an algorithm for simulating a solution is stated. The algorithm provides the necessary samples for statistical estimation of the coefficients â (y) and yt(y). The previously performed numerical experiment is supplemented by calculations presented by an alternative method and a comparative analysis of the results.

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