Data Driven Computational Optimal Control for Uncertain Nonlinear Systems

Abstract

The main objective of this effort is to develop new data driven computational optimal control algorithms for high dimensional and stochastic nonlinear systems.

Document Details

Document Type
DoD Grant Award
Publication Date
Jul 29, 2019
Source ID
FA86501817842

Entities

People

  • Daniele Venturi

Organizations

  • Air Force Research Laboratory
  • Defense Advanced Research Projects Agency
  • University of California, Santa Cruz

Tags

Fields of Study

  • Mathematics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.