Please use this identifier to cite or link to this item:
Scopus Web of Science® Altmetric
Type: Journal article
Title: Output-feedback based sliding mode control for fuzzy systems with actuator saturation
Author: Li, H.
Wang, J.
Shi, P.
Citation: IEEE Transactions on Fuzzy Systems, 2016; 24(6):1282-1293
Publisher: IEEE
Issue Date: 2016
ISSN: 1063-6706
Statement of
Hongyi Li, Jiahui Wang, and Peng Shi
Abstract: In this paper, a novel adaptive sliding mode controller is designed for Takagi-Sugeno (T-S) fuzzy systems with actuator saturation and system uncertainty. By the delta operator approach, the discrete-time nonlinear system is described by a T-S fuzzy model with unmeasurable state. By singular value decomposition of system input matrix, a reduced-order system is obtained for the design of sliding mode surface. A new adaptive sliding mode controller based on system output is presented to guarantee that the closed-loop system is uniformly ultimately bounded. Four examples are provided to illustrate the effectiveness and applicability of the proposed control scheme.
Keywords: Actuator saturation; adaptive sliding mode control; delta operator approach; Takagi-Sugeno (T-S) fuzzy model
Rights: © 2015 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See standards/publications/rights/index.html for more information.
DOI: 10.1109/TFUZZ.2015.2513085
Grant ID:
Published version:
Appears in Collections:Aurora harvest 8
Electrical and Electronic Engineering publications

Files in This Item:
There are no files associated with this item.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.