Skip to Main content Skip to Navigation
Conference papers

Sliding mode observers for T-S fuzzy systems with application to sensor fault estimation

Abstract : In this paper, we consider the sensor fault detection and isolation problem for the nonlinear dynamic systems that can be represented in the form of Takagi-Sugeno (T-S) fuzzy models. We propose an extension of the step-by-step high order sliding mode observers to T-S fuzzy models. The finite time estimation of sensor faults is obtained using the super-twisting algorithm. The proposed algorithm is tested on an hydraulic system affected by sensor faults.
Document type :
Conference papers
Complete list of metadata

https://hal-uphf.archives-ouvertes.fr/hal-03411469
Contributor : Mylène Delrue Connect in order to contact the contributor
Submitted on : Tuesday, November 2, 2021 - 12:04:31 PM
Last modification on : Wednesday, November 3, 2021 - 3:53:01 AM

Identifiers

Collections

Citation

F. Haouari, Mohamed Djemai, Brahim Cherki. Sliding mode observers for T-S fuzzy systems with application to sensor fault estimation. 2015 3rd International Conference on Control, Engineering & Information Technology (CEIT), May 2015, Tlemcen, Algeria. pp.1-5, ⟨10.1109/CEIT.2015.7233054⟩. ⟨hal-03411469⟩

Share

Metrics

Record views

8