Simulation-Based and Risk-Sensitive Methodologies for Stochastic Optimization and Control

Abstract

The proposed research is concerned with the study of basic questions aimed at challenges in logistics, planning, and management of risk for the Air Force of the future. In particular, we propose to investigate simulation-based and risk-sensitive methodologies for stochastic optimization and control that can be effective tools in an integrated approach to military Command and Control, planning, and logistics

Document Details

• Document Type: DoD Grant Award
• Publication Date: Mar 23, 2016
• Source ID: FA95501510050

Entities

People

• Steven I Marcus

Organizations

• Air Force Office of Scientific Research
• United States Air Force
• University of Maryland

Tags

Readers

• Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
• Defense Acquisition Program Management
• Joint Military Operations and Doctrine.

Technology Areas

• Fully Networked C3
• Fully Networked C3 - Command and Control