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Adaptive Sliding Mode Control for Takagi-Sugeno Fuzzy Systems and Its Applications

Journal Article


Abstract


  • This paper investigates the problem of adaptive integral sliding mode control for general Takagi–Sugeno fuzzy systems with matched uncertainties and its applications. Different control input matrices are allowed in fuzzy systems. The matched uncertainty is modeled in a unified form, which can be handled by the adaptive methodology. A fuzzy integral-type sliding surface is utilized and the parameter matrices can be determined according to user's requirement. Based on the designed sliding surface, a new sliding mode controller is proposed, and the structure of the controller depends on the difference between the disturbance input matrices and the control input matrices. It is shown that under the proposed sliding mode controller, the resulting closed-loop system can achieve the uniformly ultimate boundedness. Furthermore, simulation examples are presented to show the merit and applicability of the proposed fuzzy sliding mode control method.

Authors


  •   Li, Hongyi (external author)
  •   Wang, Jiahui (external author)
  •   Du, Haiping
  •   Karimi, Hamid Reza (external author)

Publication Date


  • 2018

Citation


  • H. Li, J. Wang, H. Du & H. Karimi, "Adaptive Sliding Mode Control for Takagi-Sugeno Fuzzy Systems and Its Applications," IEEE Transactions on Fuzzy Systems, vol. 26, (2) pp. 531-542, 2018.

Scopus Eid


  • 2-s2.0-85029551334

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers1/1211

Number Of Pages


  • 11

Start Page


  • 531

End Page


  • 542

Volume


  • 26

Issue


  • 2

Place Of Publication


  • United States

Abstract


  • This paper investigates the problem of adaptive integral sliding mode control for general Takagi–Sugeno fuzzy systems with matched uncertainties and its applications. Different control input matrices are allowed in fuzzy systems. The matched uncertainty is modeled in a unified form, which can be handled by the adaptive methodology. A fuzzy integral-type sliding surface is utilized and the parameter matrices can be determined according to user's requirement. Based on the designed sliding surface, a new sliding mode controller is proposed, and the structure of the controller depends on the difference between the disturbance input matrices and the control input matrices. It is shown that under the proposed sliding mode controller, the resulting closed-loop system can achieve the uniformly ultimate boundedness. Furthermore, simulation examples are presented to show the merit and applicability of the proposed fuzzy sliding mode control method.

Authors


  •   Li, Hongyi (external author)
  •   Wang, Jiahui (external author)
  •   Du, Haiping
  •   Karimi, Hamid Reza (external author)

Publication Date


  • 2018

Citation


  • H. Li, J. Wang, H. Du & H. Karimi, "Adaptive Sliding Mode Control for Takagi-Sugeno Fuzzy Systems and Its Applications," IEEE Transactions on Fuzzy Systems, vol. 26, (2) pp. 531-542, 2018.

Scopus Eid


  • 2-s2.0-85029551334

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers1/1211

Number Of Pages


  • 11

Start Page


  • 531

End Page


  • 542

Volume


  • 26

Issue


  • 2

Place Of Publication


  • United States