Hairong Dong, Yubing Wang, and Shigen Gao


  1. [1] M. Krstic, I. Kanellakopoulos, and P.V. Kokotovic, Nonlinearand adaptive control design, Lecture Notes in Control &Information Sciences, 5(2), 1995, 4475–4480.
  2. [2] P. Bagheri, A. Ramirez-Serrano, and J.K. Pieper, Adaptivenonlinear robust control of a novel unconventional unmannedaerial vehicle, Control and Intelligent Systems, 43(1), 2015,34–41.
  3. [3] Y. Shang and F. Gao, Global adaptive stabilization of non-linearly parameterized time-delay systems by state feedback,Control and Intelligent Systems, 44(4), 2016, 153–160.
  4. [4] A. Manzi, D. Nessler, D. Czernochowski, and D. Friedman,Adaptive fuzzy control for inter-vehicle gap keeping, IntelligentTransportation Systems IEEE Transactions on, 4(3), 2003,132–142.
  5. [5] A. Boulkroune, M. Tadjine, M. M’saad, and M. Farza, Adaptivefuzzy observer for uncertain nonlinear systems, Control andIntelligent Systems, 39(3), 2011, 145.
  6. [6] P. Naderi, A.R. Naderipour, M. Mirsalim, and M.A. Fard,Intelligent braking system using fuzzy logic and sliding modecontroller, Control and Intelligent Systems, 38(4), 2010, 236.
  7. [7] J. Yao, X. Zhu, J. Li, and F. Hu, Backstepping-based adaptivecritic design for uncertain nonlinear systems, Control andIntelligent Systems, 38(3), 2010, 140.
  8. [8] Y.J. Liu, S.C. Tong, and T.S. Li, Observer-based adaptivefuzzy tracking control for a class of uncertain nonlinear MIMOsystems, Fuzzy Sets & Systems, 164(1), 2011, 25–44.
  9. [9] T.P. Zhang, H. Wen, and Q. Zhu, Adaptive fuzzy control ofnonlinear systems in pure feedback form based on input-to-state stability, IEEE Transactions on Fuzzy Systems, 18(1),2010, 80–93.
  10. [10] P.P. Yip and J.K. Hedrick, Adaptive dynamic surface control:A simplified algorithm for adaptive backstepping control ofnonlinear systems, International Journal of Control, 71(5),1998, 959–979.
  11. [11] S.I. Han and J.M. Lee, Partial tracking error constrained fuzzydynamic surface control for a strict feedback nonlinear dynamicsystem, IEEE Transactions on Fuzzy Systems, 22(5), 2014,1049–1061.
  12. [12] E. Fridman, A. Seuret, and J.P. Richard, Robust sampled-data stabilization of linear systems: An input delay approach,Automatica, 40(8), 2004, 1441–1446.
  13. [13] T.H. Lee, J.H. Park, O.M. Kwon, and S.M. Lee, Stochastic sampled-data control for state estimation of time-varyingdelayed neural networks, Neural Networks, 46(5), 213, 99–108.
  14. [14] H. Li, X. Jing, H.K. Lam, and P. Shi, Fuzzy sampled-datacontrol for uncertain vehicle suspension systems, IEEE Trans-actions on Cybernetics, 44(7), 2013, 1111–1126.
  15. [15] M. Nadri, H. Hammouri, and R.M. Grajales, Observer designfor uniformly observable systems with sampled measurements,IEEE Transactions on Automatic Control, 58(3), 2013, 757–762.
  16. [16] T. Ahmed-Ali, I. Karafyllis, and F. Lamnabhi-Lagarrigue,Global exponential sampled-data observers for nonlinear systems with delayed measurements, Systems & Control Letters,62(7), 2013, 539–549.
  17. [17] H. Gao and T. Chen, Stabilization of nonlinear systems undervariable sampling: A fuzzy control approach, IEEE Transactions on Fuzzy Systems, 15, 2007, 972–983.
  18. [18] W. Liu, C.-C. Lim, P. Shi, and S. Xu, Sampled-data fuzzycontrol for a class of nonlinear systems with missing data anddisturbances, Fuzzy Sets and Systems, 306, 2017, 63–86.
  19. [19] T. Shaocheng, T. Jiantao, and W. Tao, Fuzzy adaptive controlof multivariable nonlinear systems, Fuzzy Sets and Systems,111(2) , 2000, 153–167.
  20. [20] D. Swaroop, J.K. Hedrick, P.P. Yip, and J.C. Gerdes, Dynamic surface control for a class of nonlinear systems, IEEEtransactions on automatic control, 45(10), 2000, 1893–1899.

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