Model-based Compositional Design of Networked Control Systems

Abstract

The rapid advancement in digital technology over the past few decades has fueled the progress in computation and communication technologies. Enabled by this progress, complex engineered systems commonly referred to as Cyber- Physical Systems (CPS), resulting from the integration of computing, communications and control, and in direct interaction with the physical world, are becoming ubiquitous in our daily lives. Examples of these systems include process control, automotive systems, networked robotics, medical systems, electrical power grids and environmental monitoring systems among others. These real world CPS are increasingly being monitored and controlled by networked control systems (NCS) and are often employed in critical settings, therefore the assurance of properties such as stability, performance, safety and security are essential. As a result, the analysis and design of NCS architectures have recently gained increasing attention. This dissertation addresses several fundamental challenges in the modeling, design, analysis and evaluation of dependable networked control systems.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2013
Accession Number
ADA624937

Entities

People

  • Emeka P. Eyisi

Organizations

  • Vanderbilt University

Tags

Communities of Interest

  • Autonomy
  • Cyber
  • Energy and Power Technologies
  • Space

DTIC Thesaurus Topics

  • Closed Loop Systems
  • Communication Channels
  • Computational Science
  • Computer Networks
  • Computer Programming
  • Control Systems
  • Control Systems Engineering
  • Engineers
  • Mathematical Models
  • Mesh Networks
  • Multiagent Systems
  • Network Protocols
  • Network Science
  • Network Topology
  • Operations Research
  • Robotic Swarms
  • Wireless Communications

Fields of Study

  • Computer science

Readers

  • Distributed Systems and Data Platform Development
  • Robotics and Automation.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - DoD AI Strategy
  • Autonomy
  • Autonomy - Autonomous System Control
  • Cyber