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An Expert System for the Identification of Nonlinear Dynamical Systems

  • Grigorios Dimitriadis
  • Gareth A. Vio
  • Dongfeng Shi
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4113)

Abstract

This paper describes an Expert System that can detect and quantify the nonlinearity present in a given dynamical system and, subsequently, determine and apply the most suitable nonlinear system identification method. The internal workings, algorithms and decision making processes of the Expert System are discussed. For demonstration purposes the Expert System is applied to a nonlinear experimental test-rig. The results show that the Expert System is an automatic tool that will detect nonlinearity, choose the best class of model for the system under investigation and perform optimal parameter estimation, so that the resulting identified models are parsimonious and accurate.

Keywords

Expert System Frequency Response Function Short Time Fourier Transform General Nonlinear System Optimal Parameter Estimation 
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-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Grigorios Dimitriadis
    • 1
  • Gareth A. Vio
    • 1
  • Dongfeng Shi
    • 2
  1. 1.School of Mechanical, Aerospace and Civil EngineeringThe University of ManchesterUK
  2. 2.Condition Monitoring Research GroupUniversity of NottinghamUK

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