eprintid: 10044422
rev_number: 22
eprint_status: archive
userid: 608
dir: disk0/10/04/44/22
datestamp: 2018-03-02 16:10:51
lastmod: 2021-09-26 23:21:41
status_changed: 2019-02-27 15:12:51
type: article
metadata_visibility: show
creators_name: Li, J
creators_name: Zhang, Q
creators_name: Yan, XG
creators_name: Spurgeon, S
title: Observer-Based Fuzzy Integral Sliding Mode Control For Nonlinear Descriptor Systems
ispublished: pub
divisions: UCL
divisions: B04
divisions: C05
divisions: F46
keywords: Observer-based stabilization,
T-S fuzzy descriptor systems,
integral sliding mode control,
mechanical systems
note: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
abstract: IEEE This paper investigates observer-based stabilization for nonlinear descriptor systems using a fuzzy integral sliding mode control approach. Observer-based integral sliding mode control strategies for the T-S fuzzy descriptor systems are developed. A two step design is first developed to obtain the observer gains and coefficients in the switching function using linear matrix inequalities, and the results are used to facilitate the development of a single step design approach, which is seen to be convenient but introduces some conservatism in the design. The potential application to a class of mechanical systems is also considered. Since the descriptor system representation of mechanical systems is adopted, it is shown that in contrast to the existing fuzzy sliding mode control methods based on the normal system representation, the resulting T-S fuzzy system does not contain different input matrices for each local subsystem and the required number of fuzzy rules is consequently markedly reduced. Finally, the balancing problem of a pendulum on a car is numerically simulated to demonstrate the effectiveness of the proposed method.
date: 2018-10
date_type: published
official_url: https://doi.org/10.1109/TFUZZ.2018.2802458
oa_status: green
full_text_type: other
language: eng
primo: open
primo_central: open_green
article_type_text: Article in Press
verified: verified_manual
elements_id: 1535748
doi: 10.1109/TFUZZ.2018.2802458
lyricists_name: Spurgeon, Sarah
lyricists_id: SSPUR40
actors_name: Spurgeon, Sarah
actors_id: SSPUR40
actors_role: owner
full_text_status: public
publication: IEEE Transactions on Fuzzy Systems
volume: 26
number: 5
pagerange: 2818-2832
issn: 1063-6706
citation:        Li, J;    Zhang, Q;    Yan, XG;    Spurgeon, S;      (2018)    Observer-Based Fuzzy Integral Sliding Mode Control For Nonlinear Descriptor Systems.                   IEEE Transactions on Fuzzy Systems , 26  (5)   pp. 2818-2832.    10.1109/TFUZZ.2018.2802458 <https://doi.org/10.1109/TFUZZ.2018.2802458>.       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10044422/1/Li_Zhang_Yan_Spurgeon.pdf