Reliable and optimal coordination of networked systems and action-based space trajectory generation/estimation

Abstract

Motivated by fundamental challenges and urgent issues from science and technology, this proposalis devoted to two main thrusts. The first one treats large-scale systems, which is important forthe Air Force mission with broad applications. This project pursues new methods for large-scalesystems with mean-field interactions of large number of states represented by empirical measuresor state averages. Using our recently-developed limit theory for measure-valued processes, thisproject extends significantly the existing methodologies, and aims to developing optimal strategiesfor controls and games.

Document Details

Document Type
DoD Grant Award
Publication Date
Aug 28, 2018
Source ID
FA95501810268

Entities

People

  • William M. McEneaney

Organizations

  • Air Force Office of Scientific Research
  • United States Air Force
  • University of California, San Diego

Tags

Fields of Study

  • Chemistry

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Distributed Systems and Data Platform Development

Technology Areas

  • Space
  • Space - Spacecraft Maneuvers