Skip to main content
Log in

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

  • Letter
  • Published:
Science China Information Sciences Aims and scope Submit manuscript

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

References

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

    Article  MathSciNet  MATH  Google Scholar 

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

    MATH  Google Scholar 

  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

    Article  MATH  Google Scholar 

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

    Article  MathSciNet  Google Scholar 

  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

    Article  MathSciNet  Google Scholar 

  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

    Article  Google Scholar 

  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

    Article  Google Scholar 

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

    Article  MathSciNet  MATH  Google Scholar 

Download references

Acknowledgements

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

Authors and Affiliations

Authors

Corresponding author

Correspondence to Feiqi Deng.

Rights and permissions

Reprints and permissions

About this article

Check for updates. 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). https://doi.org/10.1007/s11432-018-9523-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s11432-018-9523-6

Navigation