Fitting Smooth Functions and Manifolds to Data, and Related Problems of Control Theory

Abstract

This proposal continues an ongoing project and starts a new one. The ongoing project is toproduce efficient algorithms that learn smooth relationships from data. The new project is toproduce algorithms that control e.g. a drone while learning in real time how the controls influenceits behavior.

Document Details

Document Type
DoD Grant Award
Publication Date
Apr 09, 2018
Source ID
FA95501810069

Entities

People

  • Charles Fefferman

Organizations

  • Air Force Office of Scientific Research
  • Trustees of Princeton University
  • United States Air Force

Tags

Fields of Study

  • Computer science

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Approximation Theory.
  • Clinical Trial Research.

Technology Areas

  • Autonomy
  • Autonomy - Autonomous System Control