Skip to main content
Kent Academic Repository

Integral Sliding Mode Control for Markovian Jump T-S Fuzzy Descriptor Systems Based on the Super-Twisting Algorithm

Li, Jinghao, Zhang, Qingling, Yan, Xinggang, Spurgeon, Sarah K. (2016) Integral Sliding Mode Control for Markovian Jump T-S Fuzzy Descriptor Systems Based on the Super-Twisting Algorithm. IEE Proceedings - Control Theory and Applications, 11 (8). pp. 1134-1143. ISSN 1350-2379. E-ISSN 1751-8652. (doi:10.1049/iet-cta.2016.0862) (KAR id:57533)

Abstract

This paper investigates integral sliding mode control problems for Markovian jump T-S fuzzy descriptor systems via the super-twisting algorithm. A new integral sliding surface which is continuous is constructed and an integral sliding mode control scheme based on a variable gain super-twisting algorithm is presented to guarantee the well-posedness of the state trajectories between two consecutive switchings. The stability of the sliding motion is analyzed by considering the descriptor redundancy and the properties of fuzzy membership functions. It is shown that the proposed variable gain super-twisting algorithm is an extension of the classical single-input case to the multi-input case. Finally, a bio-economic system is numerically simulated to verify the merits of the method proposed.

Item Type: Article
DOI/Identification number: 10.1049/iet-cta.2016.0862
Subjects: T Technology
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Xinggang Yan
Date Deposited: 27 Sep 2016 10:07 UTC
Last Modified: 05 Nov 2024 10:47 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/57533 (The current URI for this page, for reference purposes)

University of Kent Author Information

Yan, Xinggang.

Creator's ORCID: https://orcid.org/0000-0003-2217-8398
CReDIT Contributor Roles:

Spurgeon, Sarah K..

Creator's ORCID:
CReDIT Contributor Roles:
  • Depositors only (login required):

Total unique views for this document in KAR since July 2020. For more details click on the image.