A stochastic maximum principle for switching diffusions using conditional mean-fields with applications to control problems

Abstract

This paper obtains a maximum principle for switching diffusions with mean-field interactions. The motivation stems from a wide range of applications for networked control systems in which large-scale systems are encountered and mean-field interactions are involved. Because of the complexity due to the switching, little has been done for the associate control problems with mean-field interactions. The main ingredient of this work is the use of conditional mean-fields, which is distinct from the existing literature. Using the maximum principle, optimal controls of linear quadratic Gaussian controls with mean-field interactions for switching diffusions are carried out. Numerical examples are also provided for demonstration.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jan 01, 2020
Source ID
10.1051/cocv/2019055

Entities

People

  • Dung Tien Nguyen
  • Gang George Yin
  • Son Luu Nguyen

Organizations

  • Army Research Office

Tags

Readers

  • Calculus or Mathematical Analysis
  • Control Systems Engineering.
  • Neural Network Machine Learning.