Title :
Particle filters for max plus systems
Author :
Ferreira Candido, Renato Markele ; Mendes, Rafael Santos ; Hardouin, Laurent ; Andrey Maia, Carlos
Author_Institution :
Dept. of Comput. Eng. & Ind. Autom., State Univ. of Campinas - UNICAMP, Campinas, Brazil
Abstract :
The main objective of this article is to synthesize a particle filter algorithm for max-plus systems. It is presented a brief introduction to the max-plus approach for Discrete Event Systems. Next, the fundamentals of the particle filter and the way in which they can be applied to max-plus systems are presented. It leads to the algorithm for particles filtering. Lastly, some examples are given. The results shows the accuracy of the method and the improvements in comparison with the deterministic observer.
Keywords :
algebra; discrete event systems; particle filtering (numerical methods); discrete event systems; max plus systems; max-plus algebra; particle filter algorithm; Atmospheric measurements; Equations; Mathematical model; Monte Carlo methods; Observers; Particle measurements;
Conference_Titel :
Control Conference (ECC), 2013 European
