Control of Multi-Agent Networked Visual Servo Systems Over Bandwith Restricted Communications Networks

Abstract

The contract accomplished control-theoretic solutions to reduce the demand for network capacity by prioritizing the channel usage using the proposed concept of "smart" vision sensors. The word "smart" should not only emphasize on image pre-processing to reduce information to be transmitted but also these vision sensors should have intelligence to determine the "value of information" for safe or satisfactory operation of network services. One approach to reduce network contention, allow faster data transmission, and hence use the scarce bandwidth resources more efficiently is to minimize the number of times any vision sensor accesses the channel, i.e., reduce network traffic. Informational value of data to be transmitted can be analyzed based on an objective function to determine the "worthiness" of data for transmission. Within control and estimation theory, such an objective function can be defined in terms of performance of an estimator located at the process or stability of the system to be controlled.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2022
Accession Number
AD1188072

Entities

People

  • Siddhartha S. Mehta

Organizations

  • University of Florida

Tags

Communities of Interest

  • Autonomy
  • Energy and Power Technologies
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aircrafts
  • Algorithms
  • Angle Of Arrival
  • Autonomous Weapons
  • Collision Avoidance
  • Control Systems
  • Engineering
  • Multiagent Systems
  • Network Architecture
  • Network Topology
  • Robotics
  • Robots
  • Social Networks
  • Space Objects
  • Spacecraft
  • Topology
  • Trajectories
  • Two Dimensional
  • Unmanned Ground Vehicles
  • Vehicles
  • Visual Servoing

Fields of Study

  • Computer science

Readers

  • Computer Networking
  • Computer Vision.
  • Systems Analysis and Design