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Avtomatika i Telemekhanika, 2016, Issue 10, Pages 3–39 (Mi at14355)  

This article is cited in 38 scientific papers (total in 38 papers)

Surveys

Problems and methods of network control

A. V. Proskurnikovabc, A. L. Fradkovbac

a St. Petersburg State University, St. Petesrburg, Russia
b ITMO University, St. Petersburg, Russia
c Institute of Problems of Mechanical Engineering, Russian Academy of Sciences, St. Petersburg, Russia
References:
Abstract: Control of networks (or networked systems) is an emerging area of the modern automatic control theory. It is characterized by cobination of a classical control theory apparatus (linear systems, nonlinear systems, robust control, etc) with new mathematical ideas coming mainly from graph theory. Methods of control of networks allow to solve the analysis and design problems for complex systems arising in physics, biology, economy, sociology and engineering. In the survey the main directions of the modern control of networks are presented as well as the formulations of its key results, mostly published during the last decade.
Funding agency Grant number
Russian Foundation for Basic Research 14-08-01015
Saint Petersburg State University 6.38.230.2015
Russian Science Foundation 14-29-00142
This work was supported by the Russian Foundation for Basic Research, project no. 14-08-01015 and St. Petersburg State University, project no. 6.38.230.2015. The fast gradient algorithm (35) for achieving consensus in networks of nonlinear agents has been proposed at IPME RAS with exclusive support of the Russian Science Foundation, project no. 14-29-00142.
Presented by the member of Editorial Board: V. M. Vishnevsky

Received: 27.01.2016
English version:
Automation and Remote Control, 2016, Volume 77, Issue 10, Pages 1711–1740
DOI: https://doi.org/10.1134/S0005117916100015
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: A. V. Proskurnikov, A. L. Fradkov, “Problems and methods of network control”, Avtomat. i Telemekh., 2016, no. 10, 3–39; Autom. Remote Control, 77:10 (2016), 1711–1740
Citation in format AMSBIB
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Linking options:
  • https://www.mathnet.ru/eng/at14355
  • https://www.mathnet.ru/eng/at/y2016/i10/p3
  • This publication is cited in the following 38 articles:
    1. Xi Ning, “Corporate employee performance mechanism based on incomplete information contest theory”, Applied Mathematics and Nonlinear Sciences, 9:1 (2024)  crossref
    2. A. V. Proskurnikov, I. S. Zabarianska, “Alternating Projection Method for Intersection of Convex Sets, Multi-Agent Consensus Algorithms, and Averaging Inequalities”, Comput. Math. and Math. Phys., 64:4 (2024), 848  crossref
    3. Aliya Imangazieva, 2024 8th International Conference on Information, Control, and Communication Technologies (ICCT), 2024, 1  crossref
    4. A. K. Kozlov, V. V. Matrosov, V. D. Shalfeev, “O dinamike publikatsionnoi aktivnosti po sinkhronizatsii”, Izvestiya vuzov. PND, 31:2 (2023), 170–179  mathnet  crossref
    5. I. B. Yadykin, I. A. Galyaev, “Strukturnye spektralnye metody resheniya nepreryvnykh uravnenii Lyapunova”, Avtomat. i telemekh., 2023, no. 12, 18–37  mathnet  crossref
    6. I. B. Yadykin, I. A. Galyaev, “Structural Spectral Methods for Solving Continuous Lyapunov Equations”, Autom Remote Control, 84:12 (2023), 1259  crossref
    7. Alexander Aleksandrov, Natalya Andriyanova, 2023 7th Scientific School Dynamics of Complex Networks and their Applications (DCNA), 2023, 7  crossref
    8. Cheng L., Yan H., Zhan X., Wang M., Shi K., “Performance Limitation Analysis of Networked Control Systems Under Denial-of-Service Attacks”, Asian J. Control, 2022  crossref  isi  scopus
    9. Boris Andrievsky, Alexander M. Popov, Ilya Kostin, Julia Fadeeva, “Modeling and Control of Satellite Formations: A Survey”, Automation, 3:3 (2022), 511  crossref
    10. Cristian Berceanu, Monica Pătrașcu, “Engineering Emergence: A Survey on Control in the World of Complex Networks”, Automation, 3:1 (2022), 176  crossref
    11. Alexander Fradkov, “Lyapunov-Bregman functions for speed-gradient adaptive control of nonlinear time-varying systems”, IFAC-PapersOnLine, 55:12 (2022), 544  crossref
    12. Alexander Aleksandrov, Natalya Andriyanova, “Distributed Algorithms for Mobile Agent Deployment on a Line Segment Under Switching Topology and Communication Delays”, IEEE Control Syst. Lett., 6 (2022), 3218  crossref
    13. O. V. Chernoyarov, S. Dachian, Yu. A. Kutoyants, A. V. Zyulkov, “On estimation errors in optical communication and location”, Autom. Remote Control, 82:12 (2021), 2041–2075  mathnet  crossref  crossref  isi
    14. A. L. Fradkov, O. P. Tomchina, B. Andrievsky, V. I. Boikov, “Control of phase shift in two-rotor vibration units”, IEEE Trans. Control Syst. Technol., 29:3 (2021), 1316–1323  crossref  isi
    15. Cheng L., Yan H., Zhan X., Fan Sh., Shi K., “Stability Analysis of Networked Control Systems Under Dos Attacks in Frequency Domain Via Game Theory Strategy”, Int. J. Syst. Sci., 52:14 (2021), 2934–2946  crossref  isi
    16. Lingli Cheng, Huaicheng Yan, Xisheng Zhan, Chen Yuan, 2021 China Automation Congress (CAC), 2021, 8262  crossref
    17. Aleksandr Semenov, 2021 5th Scientific School Dynamics of Complex Networks and their Applications (DCNA), 2021, 168  crossref
    18. A. Yu. Aleksandrov, A. D. Semenov, A. L. Fradkov, “Discrete-time deployment of agents on a line segment: delays and switches do not matter”, Autom. Remote Control, 81:4 (2020), 637–648  mathnet  crossref  crossref  isi  elib
    19. P. Lu, W. Yu, G. Chen, X. Yu, “Leaderless consensus of ring-networked mobile robots via distributed saturated control”, IEEE Trans. Ind. Electron., 67:12 (2020), 10723–10731  crossref  isi  scopus
    20. J.-W. Hu, X.-Sh. Zhan, J. Wu, H.-Ch. Yan, “Analysis of optimal performance of mimo networked control systems with encoding and packet dropout constraints”, IET Contr. Theory Appl., 14:13 (2020), 1762–1768  crossref  mathscinet  isi  scopus
    Citing articles in Google Scholar: Russian citations, English citations
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