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Real-Time Identification of Nonlinear Systems Using MRAN/EMRAN Algorithm

  • 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

Minimal resource allocating network (MRAN) is a recent algorithm for implementing fully tuned RBF network. Unlike the derived parameter tuning rules in Chapter 3, in MRAN algorithm, an extended Kalman filter (EKF) is utilized to update all the parameters of the RBFN. Although lacking a strict mathematical proof, MRAN was shown to be more effective than other algorithms (like RAN and RANEKF) in function approximation and pattern classification [60].

Keywords

Hide Neuron Extended Kalman Filter Radial Basis Function Neural Network Hide Unit Flight Control 
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
  • Yan Li
  1. 1.Nanyang Technological UniversitySingapore

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