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Aircraft Flight Control Applications Using Direct Adaptive NFC

  • N. Sundararajan
  • P. Saratchandran
  • Yan Li
Chapter
Part of the The Springer International Series on Asian Studies in Computer and Information Science book series (ASIS, volume 12)

Abstract

This chapter explores the application of the direct adaptive neural control scheme incorporating the fully tuned RBFN controller proposed in Chapter 6 for aircraft control applications. To evaluate the performance of this neuro flight-controller (NFC), the following scenarios are considered in this chapter.

Keywords

Model Error Tracking Error Hide Neuron Hide Unit Inverse Dynamic 
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.

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Copyright information

© Springer Science+Business Media New York 2002

Authors and Affiliations

  • N. Sundararajan
    • 1
  • P. Saratchandran
    • 1
  • Yan Li
    • 1
  1. 1.Nanyang Technological UniversitySingapore

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