Classification of data flows of control complexes and principles of differentiation into modules of elements of such systems

Liudmila Chizhikova


With the development of technology and new techniques, the need for complex cyber-physical systems is increasing. Practical example of such system with onboard control complex is unmanned aerial vehicles. When designing, developing and subsequent modifications of their software-algorithmic and hardware complexes, in addition to reducing the bandwidth of on-board computing network channels as functions and modes of operation of such systems increase, there is a possibility of regression of program code if the architecture is not properly designed. Classification of data flows and initial distribution of the amount of data according to the functions will facilitate the tasks of designing on-board control complexes, decomposition into modules and software architecture of such systems, to choose the optimal physical components. The paper classifies data flows according to the complexity of on-board control complexes. Classification of on-board control complexes allows to reduce total development time, design architecture, completeness of definition of all connections in the control system.

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D. A. Novikov, Classification of Control Systems, Management Problems, 2019, Issue 4, 27-42 DOI: , accessed 01.07.2021

Jeff Foust Starliner investigation finds numerous problems in Boeing software development process, February 7, 2020 access date 25.03.2021

O.V. Abramov To the problem of preventing accidents of technical objects of responsible purpose Reliability and quality of complex systems No.1, 2013;

V. N. Risikhin Problems caused by complexity of automatic flight control systems and possible ways to overcome them Vestnik of International Academy of Human Problems in Aviation and Cosmonautics 2006 http://xn----7sbhmbqodqf0asnf.xn--p1ai/frames/archive/2_2006.pdf#page=24 circulation date 09.04.2021

H.L. Weidemann, in C. Leonodes (ed.), Advances in Control Systems, vol. 7 (Academic Press, New York, 1969).

Touchette, H. and S. Lloyd. "Information-theoretic approach to the study of control systems." Physica A-statistical Mechanics and Its Applications 331 (2004): 140-172

A. Mavridou, E. Stachtiari, S. Bliudze, A. Ivanov, P. Katsaros, J. Sifakis Architecture-based Design: A Satellite On-Board Software Case Study EPFL IC IIF RiSD Technical Report EPFL-REPORT-221156 Ecole Polytechnique Federale de Lausanne, 2016

M. W. Maier, D. Emery, and R. Hilliard, "Software architecture: introducing IEEE Standard 1471," in Computer, vol. 34, no. 4, pp. 107-109, April 2001, doi: 10.1109/2.917550.

Yang Keng, Luo Yingli Engine and Motion Control Systems Tsinghua University Press, 2014

C.E. Shannon, W.Weaver, "The Mathematical Theory of Information,"

University of Illinois Press, Urbana, 1949

T. Shreiber Measuring Information Transfer Max Plank Institute for Physics of Complex Systems, Germany, 2008

Xuehong Cao, Zongcheng Zhang, Information Theory and Coding, Tsinghua University Press Co.

Report ITU-R M.2171 (12/2009) Characteristics of unmanned aircraft systems and spectrum requirements to support their safe operation in non-segregated airspace

L. A. Chizhikova Principles of designing a modular architecture of aviation software // Software Products and Systems. 2017. №2. URL: (access date: 08.07.2021).

M. Naija, S. Ben Ahmed and J. -M. Bruel, "New schedulability analysis for real-time systems based on MDE and Petri Nets model at early design stages," 2015 10th International Joint Conference on Software Technologies (ICSOFT), 2015, pp. 1-9.

Yang, N., Yu, H., Sun, H., & Qian, Z. (2011). Scheduling Real-Time Embedded Systems Based on TCPNIA. J. Softw., 6, 340-348

E.F. Avramchuk, A.A. Vavilov, S.V. Emel'janov pod obshhej red. S.V. Emel'janova M.: Mashinostroenie, Berlin: Tehnik , 1988 , 520 s.Tehnologija sistemnogo modelirovanija

Xiang, D., Liu, G., Yan, C., & Jiang, C. (2018). Detecting data-flow errors based on Petri nets with data operations. IEEE/CAA Journal of Automatica Sinica, 5, 251-260

P. V. Markov, Gruppovaja klassifikacija diskretnyh dinamicheskih

sistem, Nelinejnaja dinam., 2013, tom 9, nomer 4, 641–650

Mauricio Varea Bashir M. Al-Hashimi University of Southampton and Luis A. Cortes, Petru Eles, and Zebo Peng Link¨oping University Dual Flow Nets: Modeling the Control/Data-Flow Relation in Embedded Systems

Pashhenko Dmitrij Vladimirovich, Trokoz Dmitrij Anatol'evich, Sovetkina Galina Ivanovna, Nikolaeva Ekaterina Andreevna Metodika mnogokriterial'noj ocenki apparata setej Petri // Izvestija vuzov. Povolzhskij region. Tehnicheskie nauki. 2017. №1 (41). URL: (data obrashhenija: 19.04.2022)

Sheluhin, O. I. Razrabotka markovskoj modeli potoka oshibok v informacionnyh sistemah pri vozdejstvii pomeh impul'snogo tipa / O. I. Sheluhin, M. V. Arsen'ev // Jelektrotehnicheskie i informacionnye kompleksy i sistemy. – 2006. – T. 2. – № 1. – S. 28-31. – EDN IJVLTV


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