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https://hdl.handle.net/2440/122861
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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. |
DOI: | 10.1109/TFUZZ.2019.2895804 |
Grant ID: | http://purl.org/au-research/grants/arc/DP170102644 |
Published version: | http://dx.doi.org/10.1109/tfuzz.2019.2895804 |
Appears in Collections: | Aurora harvest 8 Mechanical Engineering publications |
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