Reduced Order Adaptive Controllers for Distributed Parameter Systems

Abstract

Our research is primarily focused on the development, analysis and verification of robust adaptive control algorithms for nonaffine-in-control nonlinear systems. In particular, we are interested in the development of methodologies that operate in the presence of sensor noise and provide robustness to modelling and environmental uncertainties, such as a battle damage or a control surface malfunction. Of special interest are design methods that would enable control of distributed parameter systems with reduced order controllers, appropriate for active aerodynamic flow control. These objectives are being addressed in close collaboration with industry and government labs in order to enable rapid transition of our research results to problems of high value for the Air Force and the aerospace industry.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2005
Accession Number
ADA438582

Entities

People

  • Naira Hovakimyan

Organizations

  • Virginia Tech

Tags

Communities of Interest

  • C4I
  • Human Systems
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Aerospace Industry
  • Air Force
  • Aircrafts
  • Algorithms
  • Control Surfaces
  • Control Systems
  • Electromagnetic Fields
  • Equations
  • Governments
  • Hypervelocity Flow
  • Neural Networks
  • Nonlinear Systems
  • Refueling
  • Refueling In Flight
  • Signal Processing
  • Teamwork
  • Transitions

Readers

  • Defense Technology Research and Development.
  • Robotics and Automation.

Technology Areas

  • Space
  • Space - Spacecraft Maneuvers