Distributed Control for Networked Systems with Non-Traditional Communication Constraints: Lossy Links, Power and Usage Limitations, and Induced Cooperation

Abstract

As wireless sensing and control become increasingly applicable in elds ranging from real-time alarm systems and vehicle systems to aeronautical guidance and formation control, the need for establishing a theoretical foundation for what is known as networked systems [R1] has grown likewise. Such systems have sensors and controllers distributed generally in an ad-hoc manner, but have to be connected virtually either through communication and information transmission or because of the need to achieve some level of performance driven by individual or common goals, or both. Any effective effort to develop a theoretical foundation for this relatively new paradigm necessitates pooling together of tools (both conceptual and algorithmic) from multiple seemingly disparate disciplines, such as control theory, information theory, coding, communication, computing, and game theory. Some salient aspects of this paradigm, and the challenging issues that arise in this context, which we have addressed in the research supported by this AFOSR grant, are as follows, where the generic term agents is used for entities that are responsible for decision making that leads to actions, be they sensors or controllers or even dynamical systems.

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Document Details

Document Type
Technical Report
Publication Date
Jul 12, 2012
Accession Number
ADA576967

Entities

People

  • Tamer Başar

Organizations

  • University of Illinois Urbana–Champaign

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • C4I
  • Energy and Power Technologies
  • Human Systems
  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Algorithms
  • Communication Channels
  • Communication Networks
  • Computational Science
  • Control Systems
  • Differential Equations
  • Equations
  • Game Theory
  • Information Science
  • Information Theory
  • Matrix Games
  • Multiagent Systems
  • Multiple Access
  • Probabilistic Models
  • Random Variables
  • Unmanned Aerial Vehicles
  • Wireless Networks

Fields of Study

  • Computer science

Readers

  • Computational Fluid Dynamics (CFD)
  • Computer Networking
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.