Event-Based Information Acquisition, Learning, and Control in High-Dimensional Cyber-Physical Systems

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Abstract:

The objective of this project is to develop a theoretical framework for stochastic learning, decision-making, and control in high-dimensional cyber-physical systems. In our general framework, decision makers dynamically refine their estimates of the time-varying physical system based on acquired information, which may be obtained by distributed sensors.

  • Carnegie Mellon University
  • Event-Based Information Acquisition
  • High-Dimensional Systems
  • Joint Path and Charge Decision Problem
  • learning
  • Stanford University
  • Automotive
  • CPS Domains
  • Energy Efficient Buildings
  • Energy Sector
  • Transportation Systems Sector
  • Smart Grid
  • Control
  • Energy
  • Critical Infrastructure
  • Wireless Sensing and Actuation
  • Transportation
  • CPS Technologies
  • Foundations
  • National CPS PI Meeting 2014
  • 2014
  • Abstract
  • Poster
  • Academia
  • CPSPI MTG 2014 Posters, Videos and Abstracts
Submitted by Andrea Goldsmith on