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Adaptive Control

  • Michael Paluszek
  • Stephanie Thomas
Chapter

Abstract

Consider a primary car that is driving along a highway at variable speeds. It carries a radar that measures azimuth, range, and range rate. Many cars pass the primary car, some of which change lanes from behind the car and cut in front. The multiple-hypothesis system tracks all cars around the primary car. At the start of the simulation there are no cars in the radar field of view. One car passes and cuts in front of the radar car. The other two just pass in their lanes. You want to accurately track all cars that your radar can see.

Keywords

Fast Fourier Transform Angular Rate Learning Control Model Reference Adaptive Control Gain Schedule 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. [1]
    K. J. Åström and B. Wittenmark. Adaptive Control, Second Edition. Addison-Wesley, 1995.Google Scholar
  2. [2]
    A. E. Bryson Jr. Control of Spacecraft and Aircraft. Princeton, 1994.CrossRefGoogle Scholar
  3. [3]
    Byoung S. Kim and Anthony J. Calise. Nonlinear flight control using neural networks. Journal of Guidance, Control, and Dynamics, 20(1):26–33, 1997.CrossRefMATHGoogle Scholar
  4. [4]
    Peggy S. Williams-Hayes. Flight Test Implementation of a Second Generation Intelligent Flight Control System. Technical Report NASA/TM-2005-213669, NASA Dryden Flight Research Center, November 2005.Google Scholar

Copyright information

© Michael Paluszek, Stephanie Thomas  2017

Authors and Affiliations

  • Michael Paluszek
    • 1
  • Stephanie Thomas
    • 1
  1. 1.New JerseyUSA

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