Optimal control of stochastic differential equations with random impulses and the Hamilton-Jacobi-Bellman equation

被引：1

作者：

Yin, Qian-Bao ^{[1
]}

Shu, Xiao-Bao ^{[2
]}

Guo, Yu ^{[2
]}

Wang, Zi-Yu ^{[2
]}

机构：

[1] Chinese Acad Sci, Acad Math & Syst Sci, Beijing, Peoples R China

[2] Hunan Univ, Coll Math, Changsha 410082, Hunan, Peoples R China

来源：

OPTIMAL CONTROL APPLICATIONS & METHODS | 2024年 / 45卷 / 05期

关键词：

optimal control; random impulses differential equation; stochastic Hamilton-Jacobi-Bellman equation; viscosity solution; PERIODIC-SOLUTIONS;

D O I：

10.1002/oca.3139

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this article, we study the optimal control of stochastic differential equations with random impulses. We optimize the performance index and add the influence of random impulses to the performance index with a random compensation function. Using the idea of stochastic analysis and dynamic programming principle, a new Hamilton-Jacobi-Bellman (HJB) equation is obtained, and the existence and uniqueness of its viscosity solution are proved. This article studies stochastic control systems with random impulses, and obtains a new type of Hamilton-Jacobi-Bellman(HJB) equation based on the dynamic programming principle. Compared to previous performance index, we add a compensation function to optimize the performance index. The article provides some results of the corresponding optimal control theory and proves the existence and uniqueness of viscosity solutions for the HJB equation. image

引用

页码：2113 / 2135

页数：23

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