Integrated Reconfigurable Intelligent Systems (IRIS) for Complex Naval Systems

Abstract

The report details the research work has been done by the Aerospace Systems Design Laboratory (ASDL) in developing and applying the Integrated Reconfigurable Intelligent Systems (IRIS) concept for the period of February 22 to June 30, 2009. The main objective of the work for this period is to further develop and refine the integrated modeling and simulation environment in order to investigate the behavior of complex naval systems for improving the ship design and operations. Five individual tasks were conducted to fulfill this objective. Models revised based on the notional YP were integrated and tested; a control architecture with inference engine was proposed and evaluated based on defined scenarios; comparison of plain NN models and NN models with the block-structure was performed for evaluating accuracy of the surrogate models; a suitable framework and a database engine has been selected to facilitate the information management for developing the HMI of the simulation environment; a robust and a resilient approaches were proposed to conduct design space exploration in order to obtain an ultimate design with increased survivability and mission effectiveness. The rest of the report will explain the accomplishments for each task in details.

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Document Details

Document Type
Technical Report
Publication Date
Oct 31, 2009
Accession Number
ADA508366

Entities

People

  • Dimitri N. Mavris

Organizations

  • Georgia Tech

Tags

Communities of Interest

  • Engineered Resilient Systems
  • Ground and Sea Platforms
  • Space

DTIC Thesaurus Topics

  • Accuracy
  • Bayesian Networks
  • Complex Systems
  • Computer Programming
  • Control Systems
  • Databases
  • Department Of Defense
  • Engineering
  • Human-Machine Interfaces
  • Inference Engines
  • Intelligent Systems
  • Naval Architecture
  • Ship Design
  • Simulations
  • Space Exploration
  • Systems Engineering
  • Test Sets

Fields of Study

  • Computer science

Readers

  • Computational Modeling and Simulation
  • Naval Architecture and Marine Engineering.
  • Software Engineering

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • Space