Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/136655
Citations
Scopus Web of Science® Altmetric
?
?
Type: Journal article
Title: Robust H∞-based Control for Uncertain Stochastic Fuzzy Switched Time Delay Systems via Integral Sliding Mode Strategy
Other Titles: Robust H(infinity)-based Control for Uncertain Stochastic Fuzzy Switched Time Delay Systems via Integral Sliding Mode Strategy
Author: Chen, H.
Lim, C.C.
Shi, P.
Citation: IEEE Transactions on Fuzzy Systems, 2022; 30(2):382-396
Publisher: Institute of Electrical and Electronics Engineers
Issue Date: 2022
ISSN: 1063-6706
1941-0034
Statement of
Responsibility: 
Huabin Chen, Cheng-Chew Lim, and Peng Shi
Abstract: In this article, we investigate the problems of robust exponential stabilization in mean square and H∞-based integral sliding mode controller design for uncertain stochastic Takagi– Sugeno (T-S) fuzzy switched time-delay systems with both matched and unmatched uncertainties under synchronous switching and asynchronous switching, respectively. In these systems, the control input is dependent on a switching signal. Under synchronous switching and asynchronous switching, sufficient conditions are developed to guarantee that the resulting closed-loop systems are robustly exponentially stable in mean square with a prescribed H∞-performance, respectively. The integral sliding mode surfaces and the sliding mode controllers are designed for the underlying systems under synchronous switching and asynchronous switching, respectively. By two examples stemming from the mass–spring– damper model and the single-link robot arm model under stochastic perturbation, the effectiveness of the results obtained is verified.
Keywords: Asynchronous switching; sliding mode control (SMC); synchronous switching; Takagi–Sugeno (T-S) fuzzy model; uncertain stochastic time-delay systems
Rights: © 2020 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See https://www.ieee.org/publications/rights/index.html for more information.
DOI: 10.1109/TFUZZ.2020.3039435
Grant ID: http://purl.org/au-research/grants/arc/DP170102644
Published version: http://dx.doi.org/10.1109/tfuzz.2020.3039435
Appears in Collections: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.