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All issues Volume 469 (2023) E3S Web of Conf., 469 (2023) 00056 References
Open Access
Issue
E3S Web of Conf.
Volume 469, 2023
The International Conference on Energy and Green Computing (ICEGC’2023)
Article Number 00056
Number of page(s) 8
DOI https://doi.org/10.1051/e3sconf/202346900056
Published online 20 December 2023
  1. Y. Shtessel, C. Edwards, L. Fridman, et A. Levant, Sliding Mode Control and Observation. in Control Engineering. New York, NY: Springer New York, 2014. doi: 10.1007/978-0-8176-4893-0. [CrossRef] [Google Scholar]
  2. S. Bougdour, R. Elhouti, S. Sefriti, et I. Boumhidi, « Optimal predictive control model of wind turbine », in 2021 Fifth International Conference On Intelligent Computing in Data Sciences (ICDS), Fez, Morocco: IEEE, oct. 2021, p. 1‑7. doi: 10.1109/ICDS53782.2021.9626757. [Google Scholar]
  3. K. David et U. Ozgiiner, « A Control Engineer’s Guide t o Sliding Mode Control ». [Google Scholar]
  4. G. Arthi, J. H. Park, et K. Suganya, « Controllability of fractional order damped dynamical systems with distributed delays », Mathematics and Computers in Simulation, vol. 165, p. 74‑91, nov. 2019, doi: 10.1016/j.matcom.2019.03.001. [CrossRef] [Google Scholar]
  5. N. Adhikary et C. Mahanta, « Integral backstepping sliding mode control for underactuated systems: Swing-up and stabilization of the Cart–Pendulum System », ISA Transactions, vol. 52, no 6, p. 870‑880, nov. 2013, doi: 10.1016/j.isatra.2013.07.012. [CrossRef] [PubMed] [Google Scholar]
  6. R. Miranda-Colorado, « Finite-time sliding mode controller for perturbed second-order systems », ISA Transactions, vol. 95, p. 82‑92, déc. 2019, doi: 10.1016/j.isatra.2019.05.026. [CrossRef] [PubMed] [Google Scholar]
  7. P. Li, L. Xiong, Z. Wang, M. Ma, et J. Wang, « Fractional‐order sliding mode control for damping of subsynchronous control interaction in DFIG‐based wind farms », Wind Energy, vol. 23, no 3, p. 749‑762, mars 2020, doi: 10.1002/we.2455. [CrossRef] [Google Scholar]
  8. J. Hostettler et X. Wang, « Sliding Mode Control of a Permanent Magnet Synchronous Generator for Variable Speed Wind Energy Conversion Systems ». [Google Scholar]
  9. B. Tandon, S. Narayan, et J. Kumar, « A simulation study of non-linear disturbance observer-based sliding mode control for inverted pendulum with mismatched disturbances », IJSCIP, vol. 1, no 4, p. 398, 2015, doi: 10.1504/IJSCIP.2015.075920. [CrossRef] [Google Scholar]
  10. A. R. Ghafari-Kashani, J. Faiz, et M. J. Yazdanpanah, « Integration of non-linear H∞∞ and sliding mode control techniques for motion control of a permanent magnet synchronous motor », IET Electr. Power Appl., vol. 4, no 4, p. 267, 2010, doi: 10.1049/iet-epa.2009.0108. [CrossRef] [Google Scholar]
  11. S. Balochian, A. K. Sedigh, et A. Zare, « Variable structure control of linear time invariant fractional order systems using a finite number of state feedback law », Communications in Nonlinear Science and Numerical Simulation, vol. 16, no 3, p. 1433‑1442, mars 2011, doi: 10.1016/j.cnsns.2010.06.030. [CrossRef] [Google Scholar]
  12. J. Luna, R. Costa-Castelló, et S. Strahl, « Chattering free sliding mode observer estimation of liquid water fraction in proton exchange membrane fuel cells », Journal of the Franklin Institute, vol. 357, no 18, p. 13816‑13833, déc. 2020, doi: 10.1016/j.jfranklin.2020.10.010. [CrossRef] [Google Scholar]
  13. K. Balachandran, V. Govindaraj, M. Rivero, et J. J. Trujillo, « Controllability of fractional damped dynamical systems », Applied Mathematics and Computation, vol. 257, p. 66‑73, avr. 2015, doi: 10.1016/j.amc.2014.12.059. [CrossRef] [Google Scholar]
  14. K. Balachandran, J. Y. Park, et J. J. Trujillo, « Controllability of nonlinear fractional dynamical systems », Nonlinear Analysis: Theory, Methods & Applications, vol. 75, no 4, p. 1919‑1926, mars 2012, doi: 10.1016/j.na.2011.09.042. [CrossRef] [Google Scholar]
  15. K. Balachandran, M. Matar, et J. J. Trujillo, « Note on controllability of linear fractional dynamical systems », Journal of Control and Decision, vol. 3, no 4, p. 267‑279, oct. 2016, doi: 10.1080/23307706.2016.1217754. [CrossRef] [Google Scholar]
  16. J. Mérida, L. T. Aguilar, et J. Dávila, « Analysis and synthesis of sliding mode control for large scale variable speed wind turbine for power optimization », Renewable Energy, vol. 71, p. 715‑728, nov. 2014, doi: 10.1016/j.renene.2014.06.030. [CrossRef] [Google Scholar]
  17. B. Boukhezzar et H. Siguerdidjane, « Nonlinear Control of a Variable-Speed Wind Turbine Using a Two-Mass Model », IEEE Trans. Energy Convers., vol. 26, no 1, p. 149‑162, mars 2011, doi: 10.1109/TEC.2010.2090155. [CrossRef] [Google Scholar]
  18. R. Saravanakumar et D. Jena, « Validation of an integral sliding mode control for optimal control of a three blade variable speed variable pitch wind turbine », International Journal of Electrical Power & Energy Systems, vol. 69, p. 421‑429, juill. 2015, doi: 10.1016/j.ijepes.2015.01.031. [CrossRef] [Google Scholar]
  19. F. Z. Darouiche et E. L. H. Tissir, « Design of robust $$H_\infty $$ filtering controller for discrete-time-varying delay systems with missing measurements », Int. J. Dynam. Control, vol. 11, no 4, p. 1671‑1689, août 2023, doi: 10.1007/s40435-022-01084-3. [Google Scholar]

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