First order necessary condition for stochastic evolution control systems with random generators

IF 1 4区 数学 Q1 MATHEMATICS Mathematical Control and Related Fields Pub Date : 2022-01-01 DOI:10.3934/mcrf.2022042
Yu Zhang
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Abstract

The main purpose of this paper is to establish the first order necessary optimality condition for optimal control problems of stochastic evolution systems with random generators. For our controlled system, both the drift and the diffusion terms contain the control variable, and the control region is a nonempty closed subset of a separable Hilbert space. Compared with the existing works, the main difficulties here are to prove the well-posedness of the control and the adjoint systems. We obtain the well-posedness of the adjoint system in the sense of mild solutions and that of the control system by means of the stochastic transposition method. In addition, the variational analysis approach is employed to handle the nonconvexity of the control region when deriving our optimality condition.
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随机演化控制系统的一阶必要条件
本文的主要目的是建立具有随机发生器的随机进化系统最优控制问题的一阶必要最优性条件。对于我们的被控系统,漂移项和扩散项都包含控制变量,并且控制区域是可分离Hilbert空间的非空封闭子集。与已有的工作相比,本文的主要难点在于如何证明控制和伴随系统的适定性。利用随机转置方法,得到了伴随系统在温和解意义上的适定性,以及控制系统的适定性。此外,在得到最优性条件时,采用变分分析方法处理控制区域的非凸性。
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来源期刊
Mathematical Control and Related Fields
Mathematical Control and Related Fields MATHEMATICS, APPLIED-MATHEMATICS
CiteScore
2.50
自引率
8.30%
发文量
67
期刊介绍: MCRF aims to publish original research as well as expository papers on mathematical control theory and related fields. The goal is to provide a complete and reliable source of mathematical methods and results in this field. The journal will also accept papers from some related fields such as differential equations, functional analysis, probability theory and stochastic analysis, inverse problems, optimization, numerical computation, mathematical finance, information theory, game theory, system theory, etc., provided that they have some intrinsic connections with control theory.
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