Distributed Neural Network Used in Control of Brake Torque Distribution

The paper presents implementation application of a feed-forward multi-layer neural network for a distributed system. A modified distributed topology with a changeable number of blocks is proposed. This enables us not to carry out parallel calculations on single processors. The distributed network is used to solve an optimization task in order to find such a distribution of braking torques applied to car wheels which assure a stable motion in difficult situation on a road. The model of the car, optimization task and results of calculations are presented. The use of distributed neural network considerably shortens the calculation time.