Intelligent Distributed Systems

Abstract

We have invented a distributed algorithm for finding a common fixed point of a family of suitably defined nonlinear functions mapping a finite dimensional space into itself. Necessary and sufficient conditions for convergence have been derived and several generalizations have been developed. The utility of these findings have been demonstrated by noting their applicability to distributed optimization. We have developed algorithms for enabling a networked family of autonomous agents to estimate the state of an unforced linear system. All of the algorithms exhibit exponential convergence at pre-assigned rates and some are able to function correctly in the face of changing communications graphs.

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Document Details

Document Type
Technical Report
Publication Date
Nov 15, 2019
Accession Number
AD1103105

Entities

People

  • A. Stephen Morse

Organizations

  • Yale University

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Abstracts
  • Air Force
  • Air Force Research Laboratories
  • Algorithms
  • Automatic
  • Autonomous Agents
  • Availability
  • Classification
  • Closed Loop Systems
  • Control Systems
  • Convergence
  • Department Of Defense
  • Equations
  • Families (Human)
  • Feedback
  • Information Operations
  • Instructions
  • Law
  • Linear Algebraic Equations
  • Linear Systems
  • Nonlinear Systems
  • Observers
  • Rigidity
  • Scientific Research
  • Security
  • Three Dimensional

Readers

  • Control Systems Engineering.
  • Neural Network Machine Learning.
  • Regression Analysis.

Technology Areas

  • Space