DocumentCode
3656668
Title
Simulation of stochastic adaptive algorithms for embedded devices of railway safety systems
Author
Anatoly Levchenkov;Mikhail Gorobetz
Author_Institution
Institute of Industrial Electronics and Electrical Engineering, Riga Technical University, Riga, Latvia
fYear
2015
fDate
5/1/2015 12:00:00 AM
Firstpage
421
Lastpage
426
Abstract
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.
Keywords
"Force","Adaptation models","Simulation","Mathematical model","Rail transportation","Railway safety"
Publisher
ieee
Conference_Titel
Power Engineering, Energy and Electrical Drives (POWERENG), 2015 IEEE 5th International Conference on
Print_ISBN
978-1-4673-7203-9
Electronic_ISBN
2155-5532
Type
conf
DOI
10.1109/PowerEng.2015.7266354
Filename
7266354
Link To Document