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Nonlinear Dynamic Modelling of a Gas Engine Using an RBF-Network

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  • R. Korb
  • H.P. Jörgl
  • B. Lutz

Abstract

A Radial Basis Function network (RBFN) is used to obtain a model of a gas engine, an unstable two-input/single-output system (MISO-system), to be used for the design of the speed control system. The RBFN-centers are chosen using the stepwise orthogonalization algorithm, and an input space compression which helps to avoid sparse data sets is presented. The influence of noisy data is investigated in a nonlinear system example, in order to find the cause of the model errors in the case of the gas engine model. The quality of the nonlinear RBFN-model is demonstrated by comparing measured and simulated data.

Suggested Citation

  • R. Korb & H.P. Jörgl & B. Lutz, 1999. "Nonlinear Dynamic Modelling of a Gas Engine Using an RBF-Network," Mathematical and Computer Modelling of Dynamical Systems, Taylor & Francis Journals, vol. 5(2), pages 133-151, June.
    • Handle: RePEc:taf:nmcmxx:v:5:y:1999:i:2:p:133-151
    DOI: 10.1076/mcmd.5.2.133.6171
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