Simulation of Stochastic Adaptive Algorithms for Embedded Devices of Railway Safety Systems

2015 IEEE 5th International Conference on Power Engineering, Energy and Electrical Drives (POWERENG): Proceedings 2015
Mihails Gorobecs, Anatolijs Ļevčenkovs

The simulation approach for assessment of adaptive algorithms based on stochastic search is described in this paper. In this research, the adaptive algorithms are used for railway safety system to improve existing braking by automatic smooth and precise braking of a train, avoiding passing the restrictive signal and prevent crashes. Simulation results are grouped for different types of trains to test the ability and efficiency of adaptive algorithms to find the solution in a wide range of conditions and situations.

Atslēgas vārdi
Embedded software, adaptive algorithms, railway safety
DOI
10.1109/PowerEng.2015.7266354
Hipersaite
http://ieeexplore.ieee.org/document/7266354/

Gorobecs, M., Ļevčenkovs, A. Simulation of Stochastic Adaptive Algorithms for Embedded Devices of Railway Safety Systems. No: 2015 IEEE 5th International Conference on Power Engineering, Energy and Electrical Drives (POWERENG): Proceedings, Latvija, Rīga, 11.-13. maijs, 2015. Riga: Riga Technical University, 2015, 421.-426.lpp. ISBN 978-1-4673-7203-9. e-ISBN 978-1-4799-9978-1. e-ISSN 2155-5532. Pieejams: doi:10.1109/PowerEng.2015.7266354

Publikācijas valoda
English (en)