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

R. Korb, H.P. Jörgl and B. Lutz

Mathematical and Computer Modelling of Dynamical Systems, 1999, vol. 5, issue 2, 133-151

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.

Date: 1999
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DOI: 10.1076/mcmd.5.2.133.6171

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