Maximum Principle of Discrete Stochastic Control System Driven by Both Fractional Noise and White Noise
Autor: | Yuecai Han, Zheng Li |
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Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: | |
Zdroj: | Discrete Dynamics in Nature and Society, Vol 2020 (2020) |
Druh dokumentu: | article |
ISSN: | 1026-0226 1607-887X |
DOI: | 10.1155/2020/1959050 |
Popis: | In this paper, we investigate the necessary optimality conditions of the discrete stochastic optimal control problems driven by both fractional noise and white noise. Here, the admissible control region is not necessarily convex. The corresponding variational inequalities are obtained by applying the classical variation method and Malliavin calculus. We also apply the stochastic maximum principle to a linear-quadratic optimal control problem to illustrate the main result. |
Databáze: | Directory of Open Access Journals |
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