On the Generation of Variable Structure Distributed Architectures

Abstract

A methodology to model and generate variable structure distributed intelligence systems is presented. First, the objects and the functional entities that belong to the system are defined, as well as generic interactions between them. A mathematical framework is developed to represent these interactions. This framework is embedded in Colored Petri Net theory, which is used as the basic technique to generate variable structures. The set of variable structures that satisfy both general constraints and user-defined requirements is analyzed with results from Lattice theory. A class of solutions to the design problem is characterized. This class corresponds to the variable structures whose variability corresponds exactly to the requirements of the user. This class of solution is decomposed into subsets of structures with the same input links. Each subset is delimited by minimal and maximal elements. There is a layer of partially ordered subsets between one minimal element and one maximal element. Each layer is a lattice. The methodology is applied to two illustrative examples, the coordination of tasks in a submarine and the coordination of tasks among air traffic controllers at an airport. Finally, policy considerations of the research on distributed intelligence systems are presented.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1989
Accession Number
ADA208953

Entities

People

  • Jacques J. Demael

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • C4I
  • Ground and Sea Platforms
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Traffic Control Systems
  • Air Traffic Controllers
  • Classification
  • Cognition
  • Command And Control
  • Command And Control Systems
  • Computer Science
  • Computers
  • Control Systems
  • Department Of Defense
  • Electrical Engineering
  • Information Processing
  • Information Systems
  • Mathematical Models
  • Organizational Structure
  • Personnel Management
  • Systems Management

Readers

  • Database Systems and Applications
  • Mathematical Modeling and Probability Theory.