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Avtomatika i Telemekhanika, 2006, Issue 11, Pages 3–37 (Mi at1303)  

This article is cited in 98 scientific papers (total in 99 papers)

Method of passification in adaptive control, estimation, and synchronization

B. R. Andriesky, A. L. Fradkov

Institute of Problems of Mechanical Engineering, Russian Academy of Sciences, St. Petersburg, Russia
References:
Abstract: The main results of the method of passification which are based on applying the Yakubovich–Kalman frequency theorem to the design of the feedback systems and examples of its use in the problems of adaptive control, state estimation, and synchronization were presented. Various types of the adaptive control algorithms with implicit reference model such as the algorithms of stabilization and tracking with the prescribed dynamics, algorithms with adaptive tuning of the standard control laws, and combined signal-parametric algorithm of adaptive control were described. Brief information about the shunting method in the adaptive control problem was given. The experimental results with the adaptive control on the “Helicopter” benchmark were described. Consideration was given to the problem of adaptive control of the nonlinear plants. Examples of applying the method of passification and adaptive observers to the problems of synchronization of the nonlinear oscillators and message transmission by chaotic signals were presented.
Presented by the member of Editorial Board: B. T. Polyak

Received: 20.01.2006
English version:
Automation and Remote Control, 2006, Volume 67, Issue 11, Pages 1699–1731
DOI: https://doi.org/10.1134/S0005117906110014
Bibliographic databases:
Document Type: Article
PACS: 02.30.Yy, 01.60.+q
Language: Russian
Citation: B. R. Andriesky, A. L. Fradkov, “Method of passification in adaptive control, estimation, and synchronization”, Avtomat. i Telemekh., 2006, no. 11, 3–37; Autom. Remote Control, 67:11 (2006), 1699–1731
Citation in format AMSBIB
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\by B.~R.~Andriesky, A.~L.~Fradkov
\paper Method of passification in adaptive control, estimation, and synchronization
\jour Avtomat. i Telemekh.
\yr 2006
\issue 11
\pages 3--37
\mathnet{http://mi.mathnet.ru/at1303}
\mathscinet{http://mathscinet.ams.org/mathscinet-getitem?mr=2275453}
\zmath{https://zbmath.org/?q=an:1195.93117}
\transl
\jour Autom. Remote Control
\yr 2006
\vol 67
\issue 11
\pages 1699--1731
\crossref{https://doi.org/10.1134/S0005117906110014}
\scopus{https://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-33751539277}
Linking options:
  • https://www.mathnet.ru/eng/at1303
  • https://www.mathnet.ru/eng/at/y2006/i11/p3
  • This publication is cited in the following 99 articles:
    1. N. Kuznetsov, I. Boiko, B. Andrievsky, E. Kudryashova, O. Kuznetsova, I. Zaitceva, 2024 17th International Workshop on Variable Structure Systems (VSS), 2024, 321  crossref
    2. A. S. Matveev, A. L. Fradkov, A. I. Shepeljavyi, “A historical essay on the scientific school of V.A. Yakubovich”, Autom. Remote Control, 84:9 (2023), 1017–1040  mathnet  crossref  crossref
    3. A. S. Matveev, A. L. Fradkov, A. I. Shepeljavyi, “A Historical Essay on the Scientific School of V.A. Yakubovich”, Autom Remote Control, 84:9 (2023), 905  crossref
    4. Nikolay Kuznetsov, Boris Andrievsky, Iuliia Zaitceva, Elizaveta Akimova, Lecture Notes in Computer Science, 14214, Interactive Collaborative Robotics, 2023, 221  crossref
    5. Ilia Kostin, Julia Fadeeva, Vladimir A. Mikhailov, Alexander M. Popov, Philip Popov, 2023 30th Saint Petersburg International Conference on Integrated Navigation Systems (ICINS), 2023, 1  crossref
    6. M. M. Kogan, “Adaptive $H_{\infty }$-optimal control”, Autom. Remote Control, 83:8 (2022), 1246–1260  mathnet  crossref  crossref
    7. Alexander M. Popov, Daniil G. Kostrygin, Anatoly A. Shevchik, Boris Andrievsky, “Speed-Gradient Adaptive Control for Parametrically Uncertain UAVs in Formation”, Electronics, 11:24 (2022), 4187  crossref
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    12. Popov A.M., Kostin I., Fadeeva J., Andrievsky B., “Development and Simulation of Motion Control System For Small Satellites Formation”, Electronics, 10:24 (2021), 3111  crossref  isi
    13. Annaswamy A.M., Fradkov A.L., “A Historical Perspective of Adaptive Control and Learning”, Annu. Rev. Control, 52 (2021), 18–41  crossref  isi
    14. Ajala O., Dominguez-Garcia A.D., Liberzon D., “Robust Leader-Follower Synchronization of Electric Power Generators”, Syst. Control Lett., 152 (2021), 104937  crossref  isi  scopus
    15. B. R. Andrievsky, B. R. Andrievsky, I. B. Furtat, “Disturbance observers: methods and applications. I. Methods”, Autom. Remote Control, 81:9 (2020), 1563–1610  mathnet  crossref  crossref  isi  elib
    16. Andrievsky B., Kudryashova V E., Kuznetsov V N., Kuznetsova O.A., “Aircraft Wing Rock Oscillations Suppression By Simple Adaptive Control”, Aerosp. Sci. Technol., 105 (2020), 106049  crossref  isi  scopus
    17. Andrievsky B., Selivanov A., “Historical Overview of the Passification Method and Its Applications to Nonlinear and Adaptive Control Problems”, 2020 European Control Conference (Ecc 2020), IEEE, 2020, 791–794  crossref  mathscinet  isi
    18. Andrievsky B., Pogromsky A.Y., Plotnikov S.A., “Speed-Gradient Method in Adaptive Control and Identification. Historical Overview”, IFAC PAPERSONLINE, 53:2 (2020), 1367–1372  crossref  isi
    19. Selivanov A., Fradkov A., “Adaptive Stabilization of Minimum-Phase Systems Under Quantized Measurements”, IFAC PAPERSONLINE, 53:2 (2020), 3761–3766  crossref  isi
    20. Keum W. Lee, Sahjendra N. Singh, AIAA Scitech 2020 Forum, 2020  crossref
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