An Integrated Modeling and Simulation Methodology for Intelligent Systems Design and Testing

Abstract

Model continuity refers to the ability to use the same model of a system throughout its design phases. For intelligent systems, we can restrict such continuity to the intelligent control components, and more specifically, the models that implement the system's decision making. behavior. In this paper, we show how a modeling and simulation environment, based on the DEVS formalism, can support model continuity in the design of intelligent systems. For robotic systems, such continuity allows design and testing of the same control logic model through the phases including logical simulation, real-time simulation and actual execution.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2002
Accession Number
ADA520232

Entities

People

  • Bernard P. Zeigler
  • Xiaolin Hu

Organizations

  • University of Arizona

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Abstracts
  • Actuators
  • Complex Systems
  • Computer Simulations
  • Computers
  • Continuity
  • Couplings
  • Detectors
  • Environment
  • Information Processing
  • Intelligent Systems
  • Parallel Computing
  • Parallel Processing
  • Simulations
  • Simulators
  • Software Development
  • Systems Engineering

Fields of Study

  • Computer science

Readers

  • Computational Modeling and Simulation
  • Distributed Systems and Data Platform Development

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • Autonomy
  • Autonomy - Autonomous System Control