Based on the 1/2 automobile nonlinear model and the diagonally recurrent neural network model, an automobile semi-active suspension system using neural network control and simulation is established. An off-line identification is proceeded on this model using an optimal control. Neural control and simulation are also performed on this model and the simulative results are analyzed and summarized.
An automobile semi-active suspension system using neural network control and simulation
2004
4 Seiten, 4 Quellen
Aufsatz (Konferenz)
Englisch
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