Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/122861
Citations
Scopus Web of Science® Altmetric
?
?
Type: Journal article
Title: Observer-based sliding mode control for uncertain fuzzy systems via event-triggered strategy
Author: Liu, X.
Su, X.
Shi, P.
Shen, C.
Citation: IEEE Transactions on Fuzzy Systems, 2019; 27(11):2190-2201
Publisher: IEEE
Issue Date: 2019
ISSN: 1063-6706
1941-0034
Statement of
Responsibility: 
Xinxin Liu, Xiaojie Su, Peng Shi, Chao Shen
Abstract: This paper investigates the problem of sliding mode observer design for a class of uncertain fuzzy time-delay systems based on an event-triggered strategy. The objective is to design an event-triggered mechanism by utilizing the information of system output and observer function. Based on the delay partitioning method and the Lyapunov-Krasovskii function approach, delaydependent sufficient conditions are proposed to guarantee the overall system, including sliding mode dynamics and error dynamics, to be asymptotically stable with an H∞ performance. Furthermore, an event-triggered sliding mode controller is synthesized to ensure that the system dynamics can be driven to the sliding region near the equilibrium point in finite time. Finally, a verification example is provided to demonstrate the feasibility and efficiency of the theoretical results presented.
Rights: © 2019 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.
RMID: 1000005428
DOI: 10.1109/TFUZZ.2019.2895804
Grant ID: http://purl.org/au-research/grants/arc/DP170102644
Appears in Collections:Mechanical 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.