Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/139428
Citations | ||
Scopus | Web of Science® | Altmetric |
---|---|---|
?
|
?
|
Type: | Journal article |
Title: | Event-Triggered Fuzzy Filtering for Nonlinear Dynamic Systems via Reduced-Order Approach |
Author: | Su, X. Wen, Y. Shi, P. Lam, H.K. |
Citation: | IEEE Transactions on Fuzzy Systems, 2019; 27(6):1215-1225 |
Publisher: | Institute of Electrical and Electronics Engineers |
Issue Date: | 2019 |
ISSN: | 1063-6706 1941-0034 |
Statement of Responsibility: | Xiaojie Su, Yao Wen, Peng Shi, and Hak-Keung Lam |
Abstract: | This paper is concerned with the problem of generalized H₂ reduced-order filter design for continuous Takagi-Sugeno fuzzy systems using an event-triggered scheme. For a continuous Takagi-Sugeno fuzzy dynamic system, a reduced-order filter is designed to transform the original model into a linear lower order one. This filter can also approximate the original system with H₂ performance, with a new type of event-triggered scheme used to decrease the communication loads and computation resources within the network. By transforming the filtering problem to a convex optimization one, conditions are presented to design the fuzzy reduced-order filter. Finally, two illustrative examples are used to verify the feasibility and applicability of the proposed design scheme. |
Keywords: | Fuzzy filter; fuzzy systems; H2 filtering; reducedorder approach |
Rights: | © 2018 IEEE |
DOI: | 10.1109/TFUZZ.2018.2874015 |
Grant ID: | http://purl.org/au-research/grants/arc/DP170102644 |
Published version: | http://dx.doi.org/10.1109/tfuzz.2018.2874015 |
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.