Analysis, Control, and Estimation for Multiscale Adaptive Sensor Systems

Abstract

The proposed research effort will develop a theoretical framework for the analysis, control, and estimation of cooperative sensors systems comprised of groups of autonomous agents that are deployed to optimize multiple cooperative objectives. The theoretical framework will be developed using an adaptive distributed optimal control (DOC) approach by which probability density functions are used to provide a compact representation of the agents state and to robustly optimize the performance of many cooperative agents over time, subject to highly uncertain and changing environments.

Document Details

Document Type
DoD Grant Award
Publication Date
Aug 12, 2016
Source ID
N000141612447

Entities

People

  • Silvia Ferrari

Organizations

  • Cornell University
  • Office of Naval Research
  • United States Navy

Tags

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Research Science/Academic Research