An Adaptive Property-Aware HW/SW Framework for DDDAS

Abstract

This project focused on the design of an adaptable computing infrastructure to support DDDAS systems in the context of Unmanned Aerial Vehicles (UAVs). A unifying theme that drives our research is the concept of responding and adapting to surprise. Some examples of surprise are: 1) in-flight changes in mission objectives, 2) unexpected encounters with friends or foes, and 3) changes in the environment. Two examples of environmental changes could be a chipped blade (which changes the dynamics of the UAV), or unexpected turbulence. In support of responding to surprise, research was pursued to allow elements of the computing platform to adapt to the system or tasks moving between different modalities (e.g. real-time, high-performance, small-footprint, energy-conserving).

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Document Details

Document Type
Technical Report
Publication Date
Oct 21, 2014
Accession Number
ADA614496

Entities

People

  • Christopher Gill
  • Joseph Zambreno
  • Nicola Elia
  • Phillip Jones
  • Ron Cytron

Organizations

  • Iowa State University

Tags

Communities of Interest

  • Advanced Electronics
  • Biomedical
  • Cyber
  • Energy and Power Technologies
  • Engineered Resilient Systems
  • Ground and Sea Platforms
  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Aircrafts
  • Central Processing Units
  • Computational Science
  • Computer Architecture
  • Computer Programming
  • Computer Science
  • Computers
  • Control Systems
  • Cyber-Physical Systems
  • Electronic Mail
  • Embedded Systems
  • Field Programmable Gate Arrays
  • Instruction Set Architecture
  • Operating Systems
  • Trees (Data Structures)
  • Unmanned Aerial Vehicles
  • Very Large Scale Integration

Readers

  • Aerial Unmanned Vehicle Swarm Micro Periodontal Dentistry.
  • Enterprise Information Systems Architecture and Joint Command Capability Interoperability Support.
  • Strategic Security Studies

Technology Areas

  • Autonomy
  • Autonomy - Autonomous System Control
  • Autonomy - UAVs