SYSTEM AND METHOD FOR DETERMINING A QUANTITY IN A MOTOR VEHICLE

A method and system for determining iteratively a quantity of interest used to control at least one component of a motor-vehicle powertrain. The system includes a supervised-learning-based estimating module, for example a neural network, which receives as input a set of first input data, and delivers as output at least one intermediate output quantity, a likelihood-checking module, which receives as input the set of first input data and a set of second input data, and which delivers as output a likelihood index, a downstream processing module which receives as input the likelihood index and the intermediate output quantity, and which delivers as output a final output quantity. When the likelihood index is good, the final output quantity is obtained from the intermediate output quantity, otherwise the final output quantity is obtained from a model of a physical representation.