Title :
Distributed Neural Network Used in Control of Brake Torque Distribution
Author :
Adamiec-Wojcik, I. ; Obrocki, Krystian ; Warwas, Kornel
Author_Institution :
Univ. of Bielsko, Bielsko-Biala
Abstract :
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.
Keywords :
brakes; feedforward neural nets; motion control; neurocontrollers; road vehicles; stability; torque control; vehicle dynamics; brake torque distribution; car wheel; distributed network; distributed system; distributed topology; feed-forward multilayer neural network; single processor; stable motion; Artificial neural networks; Biological neural networks; Computer networks; Distributed computing; Feedforward systems; Network servers; Network topology; Neural networks; Torque control; Vehicles; control of brake torque; distributed calculations; neural networks; vehicle dynamics;
Conference_Titel :
Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2005. IDAACS 2005. IEEE
Conference_Location :
Sofia
Print_ISBN :
0-7803-9445-3
Electronic_ISBN :
0-7803-9446-1
DOI :
10.1109/IDAACS.2005.282952
