Open Access
Issue
E3S Web Conf.
Volume 124, 2019
International Scientific and Technical Conference Smart Energy Systems 2019 (SES-2019)
Article Number 02005
Number of page(s) 5
Section Electromechanics and Electrical Apparatus
DOI https://doi.org/10.1051/e3sconf/201912402005
Published online 25 October 2019
  1. A.R. Gaiduk, K.V. Beskubova, A.S. Melnichenko, 2014 Research of dynamical systems stability at structural disturbances. (Taganrog: Proceedings of the Southern Federal University. Technical science, 5 (154), 37–45. [Google Scholar]
  2. M. Zhixun, Z. Yuanzhe, S. Yan, L. Zhiming, L. Guobin., 2018 Constant switching frequency model predictive control for permanent magnet linear synchronous motor. (Transport systems and technologies, 4 (3 S1), 279–288. [CrossRef] [Google Scholar]
  3. Ivanovsky R.I., 2011 Applied aspects of the theory of sensitivity. (Scientific and technical statements of the St. Petersburg State Polytechnic University. Compute science. Telecommunications. Management, 6-1(138), 102–110. [Google Scholar]
  4. T.J. Abatzoglou, A fast maximum likelihood algorithm for frequency estimation of a sinusoid based on Newton’s method (IEEE Trans. on Acoustics, Speech and Signal Processing, 33 (1), (1985) [CrossRef] [Google Scholar]
  5. D.H.T. Abramovitch, Henze D., 1998 An overview of the PES Pareto method for decomposing baseline noise sources in hard disk position error signals (IEEE Transactions on Magnetics, 34 (1), 17–23. [CrossRef] [Google Scholar]
  6. B.D.O. Anderson, 1998 From Youla-Kucera to identification, adaptive and nonlinear control 34 (12), 1485–1506. [Google Scholar]
  7. B.D.O. Anderson, I.D. Landau, Least squares identification and the robust strict positive real property (IEEE Trans. on Circuits and Systems. 49 (9), (1994) [Google Scholar]
  8. S. Bittanti, S.M. Savaresi, Safe estimate of sinusoidal signals for control applications (Phoenix: Proc. of the 38th Conf. On Decision & Control) 2827–2832 (1999) [Google Scholar]
  9. M. Bodson, S. Douglas, Adaptive algorithm for the rejection of sinusoidal disturbances with unknown frequency. 33 (12), 2213–2221 (1997) [Google Scholar]
  10. N.A. Malev, O.V. Pogoditsky, Statistical analysis of dynamic characteristics asynchronous electric motor with changing load parameters. (Kazan: Proceedings of the higher educational institutions. Energy sector problems; 21 (1-2), 120–130 (2019) [Google Scholar]
  11. M.M. Katzman, Handbook of electric machines. (Moscow: Publishing Center “Academy”) 480 (2005) [Google Scholar]
  12. V.I. Krupovich, Yu.G. Barybin, M.L. Samover, Handbook of power supply design. (Moscow: Energy) 456 (1980) [Google Scholar]
  13. V. Bavdekar, A. Mesbah, A polynomial chaos-based nonlinear Bayesian approach for estimating state and parameter probability distribution functions. (Boston: In Proceedings of the American Control Conference) 49–54 (2016) [Google Scholar]
  14. E.A. Buehler, J.A. Paulson, A. Mesbah, Lyapunov-based stochastic nonlinear model predictive control: Shaping the state probability distribution functions (Boston: In Proceedings of the American Control Conference) 258–269 (2016) [Google Scholar]
  15. M. Gevers, Identification for control: From the early achievements to the revival of experiment design (European Journal of Control, 11) 335–352 (2005) [Google Scholar]
  16. G. Guo, J. Zhang, Feedforward control for reducing disk-flutter-induced track misregistration (IEEE Transactions on Magnetics, 39 (4), 2103–2108 (2003) [CrossRef] [Google Scholar]
  17. F.R. Hansen, G.F. Franklin, R.L. Kosut, 1989 Closed-loop identification via the fractional representation: experiment design (Proc. Amer. Control Conf.) 386–391 [Google Scholar]
  18. I.D. Landau, A stability theorem application to adaptive control IEEE Trans. on Aut. Contr., AC-25 (4), 814–817 (1980) [CrossRef] [Google Scholar]
  19. A. Pantazi, J. Jelitto, N. Bui, E. Eleftheriou, Track-following in tape storage: Lateral tap emotion and control Mechatronics, 22 (3), 361–367 (2012) [Google Scholar]
  20. B. Shahsavari, E. Keikha, F. Zhang, R. Horowitz, Adaptive repetitive control design with online secondary path modeling and application to bit-patterned media recording Magnetics, IEEE Transactionson, 51 (4), 1–6 (2015) [Google Scholar]
  21. N.A. Malev, O.V. Pogoditsky, F.N. Lyubarchuk, Analysis of changes in the parameters of an asynchronous motor by a linear integral criterion using a reference model (Bulletin of KSPEU 1) 60–67 (2019) [Google Scholar]

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