Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/105859
Citations | ||
Scopus | Web of Science® | Altmetric |
---|---|---|
?
|
?
|
Type: | Journal article |
Title: | Backstepping fuzzy adaptive control for a class of quantized nonlinear systems |
Author: | Liu, W. Lim, C.-C. Shi, P. Xu, S. |
Citation: | IEEE Transactions on Fuzzy Systems, 2017; 25(5):1090-1101 |
Publisher: | IEEE |
Issue Date: | 2017 |
ISSN: | 1063-6706 1941-0034 |
Statement of Responsibility: | Wenhui Liu, Cheng-Chew Lim, Peng Shi and Shengyuan Xu |
Abstract: | This paper proposes a new adaptive controller for a class of uncertain nonlinear systems with a quantized signal. Fuzzy logic systems are utilized to approximate nonlinear terms without imposing prior matching conditions required. A hysteretic type of quantizer is incorporated to reduce chattering. A new adaptive backstepping controller is designed to guarantee that the underlying uncertain nonlinear system is semiglobally uniformly ultimately bounded. Two numerical examples are presented to demonstrate the effectiveness and potential of the proposed techniques. |
Keywords: | Fuzzy logic systems; quantized control; backstepping technique; nonlinear systems |
Rights: | © 2016 IEEE. |
DOI: | 10.1109/TFUZZ.2016.2598360 |
Grant ID: | ARC http://purl.org/au-research/grants/arc/DP140102180 http://purl.org/au-research/grants/arc/LP140100471 61573112 U1509217 61374087 |
Published version: | http://dx.doi.org/10.1109/tfuzz.2016.2598360 |
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.