Springer Nature is making SARS-CoV-2 and COVID-19 research free. View research | View latest news | Sign up for updates

A new perspective on fuzzy control of the stochastic T-S fuzzy systems with sampled-data

This is a preview of subscription content, log in to check access.


  1. 1

    Zhao X Y, Deng F Q. Divided state feedback control of stochastic systems. IEEE Trans Autom Control, 2015, 60: 1870–1885

  2. 2

    Mao X R. Stochastic Differential Equations and Applications. Amsterdam: Elsevier, 2007

  3. 3

    Guan X P, Chen C L. Delay-dependent guaranteed cost control for T-S fuzzy systems with time delays. IEEE Trans Fuzzy Syst, 2004, 12: 236–249

  4. 4

    Zhao C, Guo L. PID controller design for second order nonlinear uncertain systems. Sci China Inf Sci, 2017, 60: 022201

  5. 5

    Xue L R, Zhang W H, Xie X J. Global practical tracking for stochastic time-delay nonlinear systems with SISS-like inverse dynamics. Sci China Inf Sci, 2017, 60: 122201

  6. 6

    Choi H D, Ahn C K, Shi P, et al. Dynamic outputfeedback dissipative control for T-S fuzzy systems with time-varying input delay and output constraints. IEEE Trans Fuzzy Syst, 2017, 25: 511–526

  7. 7

    Hu S L, Yue D, Peng C, et al. Event-triggered controller design of nonlinear discrete-time networked control systems in T-S fuzzy model. Appl Soft Comput, 2015, 30: 400–411

  8. 8

    Fridman E, Seuret A, Richard J P. Robust sampleddata stabilization of linear systems: an input delay approach. Automatica, 2004, 40: 1441–1446

Download references


This work was supported by National Natural Science Foundation of China (Grant Nos. 61573156, 61733008, 61503142), and Natural Science Foundation of Guangdong Province (Grant No. 2017A030313332).

Author information

Correspondence to Feiqi Deng.

Rights and permissions

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Li, S., Deng, F. & Zhao, X. A new perspective on fuzzy control of the stochastic T-S fuzzy systems with sampled-data. Sci. China Inf. Sci. 62, 209203 (2019).

Download citation