Situation Representation Model Implemented by Granule Fuzzy Characteristics in Mobile Autonomous System

Authors

  • Anatolii Kargin Ukrainian State University of Railway Transport, Ukraine
  • Yevhen Luchentsov Ukrainian State University of Railway Transport, Ukraine

Abstract

Creation of the mobile autonomous control system has specifics. The decision-making and assessment of the large scale situation are based on the global situation model presented in the form of a multilevel structure at different abstraction levels. Three types of abstraction are considered: quantitative, deterministic, and generalized abstraction. The report examines the algorithm for processing data from sensors at the first two levels. Algorithm is programmed in Python and implemented on ESP 8266 microcontroller.

References

A. Kargin,. O. Ivaniuk, G. Galych, A. Panchenko, “Pollygon for smart machine application“, 2018 IEEE 9th International Conference on Dependable Systems, Services and Technologies DESSERT’2018, Ukraine, Kyiv, May 24-27, 2018, P. 489-494.

A. Kargin, T. Petrenko, “Abstraction and categorization in smart machines based on granular computations.” Vestnik Natsional'nogo tekhnicheskogo universiteta" KhPI". Seriya: Informatika i modelirovaniye, vol. 50(1271), pp. 57-68, 2017. (in Russian)

A. Kargin, T. Petrenko, “Internet of Things Smart Rules Engine”, in 2018 Inter. Sci.-Pract. Conf. Probl. Infocommun. Sci. and Technol. (PIC S&T 2018), Kharkiv, Ukraine, Oct. 9-12, 2018, pp. 639-644.

CSITIC-2020

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Published

2020-04-23

Issue

2020: COMPUTER AND INFORMATION SYSTEMS AND TECHNOLOGIES

Section

FLEXIBLE INTEGRATED SYSTEMS AND ROBOTICS