Nonlinear Dynamic Modelling of a Gas Engine Using an RBF-Network
Autor: | B. Lutz, H.P. Jörgl, R. Korb |
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Rok vydání: | 1999 |
Předmět: |
Engineering
Radial basis function network business.industry Applied Mathematics Dynamic modelling Space (mathematics) Computer Science Applications Nonlinear system Quality (physics) Control and Systems Engineering Control theory Modeling and Simulation Compression (functional analysis) Gas engine business Orthogonalization Software |
Zdroj: | Mathematical and Computer Modelling of Dynamical Systems. 5:133-151 |
ISSN: | 1387-3954 |
DOI: | 10.1076/mcmd.5.2.133.6171 |
Popis: | 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. |
Databáze: | OpenAIRE |
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