Analysis, Control, and Estimation for Multiscale Adaptive Sensor Systems

Abstract

The proposed research effort will develop a theoretical framework for the analysis, control, andestimation of cooperative sensors systems comprised of groups of autonomous agents that aredeployed to optimize multiple cooperative objectives. The theoretical framework will bedeveloped using an adaptive distributed optimal control (DOC) approach by which probabilitydensity functions are used to provide a compact representation of the agents state and to robustlyoptimize the performance of many cooperative agents over time, subject to highly uncertain andchanging environments.

Document Details

Document Type
DoD Grant Award
Publication Date
Feb 07, 2017
Source ID
N000141512104

Entities

People

  • Silvia Ferrari

Organizations

  • Duke 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.
  • Distributed Systems and Data Platform Development