Coupling in Uncertain Multi-physics Systems

Abstract

This research program will explore new ways to formulate design of an uncertain coupled multi-physics system and new methods for approximating and managing coupling in the presence of uncertainty. The team will pursue an integrated research agenda that draws on ideas from graph theory, model reduction, machine learning, and game theory.

Document Details

• Document Type: DoD Grant Award
• Publication Date: Apr 09, 2018
• Source ID: FA95501810023

Entities

People

• Karen Willcox

Organizations

• Air Force Office of Scientific Research
• Massachusetts Institute of Technology
• United States Air Force

Tags

Fields of Study

• Physics

Readers

• Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
• Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
• Computational Fluid Dynamics (CFD)

Technology Areas

• AI & ML