Model Variation Tests for Multivariable Nonlinear Models Including Neural Networks

Book English OPEN
Billings, S.A. ; Zhu, Q.M. (1994)
  • Publisher: Department of Automatic Control and Systems Engineering
  • Subject:
    arxiv: Computer Science::Information Theory

A fast and concise MIMO nonlinear model validity test procedure is derived, based on higher order correlation functions, to form a global to local hierarchical validation diagnosis of identified MIMO linear and nonlinear models. The new procedure is applied to four MIMO nonlinear system models including a neural network training example to demonstrate the effectiveness of the tests.
  • Metrics
    0
    views in OpenAIRE
    0
    views in local repository
    40
    downloads in local repository

    The information is available from the following content providers:

    From Number Of Views Number Of Downloads
    White Rose Research Online - IRUS-UK 0 40
Share - Bookmark