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.
Original language | English |
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Pages (from-to) | 369-378 |
Number of pages | 10 |
Journal | Mathematics and Computers in Simulation |
Volume | 60 |
Issue number | 3-5 |
Early online date | 20 Mar 2002 |
DOIs | |
Publication status | Published - 30 Sept 2002 |
Externally published | Yes |
Keywords
- Hybrid car suspension
- Neural networks
- Semi-stochastic optimization
ASJC Scopus subject areas
- Information Systems and Management
- Control and Systems Engineering
- Applied Mathematics
- Computational Mathematics
- Modelling and Simulation