Design of a non-linear hybrid car suspension system using neural networks

Konstantinos Spentzas and Stratis A. Kanarachos

Mathematics and Computers in Simulation (MATCOM), 2002, vol. 60, issue 3, 369-378

Abstract: A methodology for the design of active/hybrid car suspension systems with the goal to maximize passenger comfort (minimization of passenger acceleration) is presented. For this reason, a neural network (NN) controller is proposed, who corresponds to a Taylor series approximation of the (unknown) non-linear control function and the NN is due to the numerous local minima trained using a semi-stochastic parameter optimization method. Two cases A and B (continuous and discontinuous operation) are investigated and numerical examples illustrate the design methodology.

Keywords: Hybrid car suspension; Neural networks; Semi-stochastic optimization (search for similar items in EconPapers)
Date: 2002
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Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:60:y:2002:i:3:p:369-378

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