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https://hdl.handle.net/2440/110593
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Type: | Journal article |
Title: | Output-feedback based sliding mode control for fuzzy systems with actuator saturation |
Author: | Li, H. Wang, J. Shi, P. |
Citation: | IEEE Transactions on Fuzzy Systems, 2016; 24(6):1282-1293 |
Publisher: | IEEE |
Issue Date: | 2016 |
ISSN: | 1063-6706 1941-0034 |
Statement of Responsibility: | Hongyi Li, Jiahui Wang, and Peng Shi |
Abstract: | In this paper, a novel adaptive sliding mode controller is designed for Takagi-Sugeno (T-S) fuzzy systems with actuator saturation and system uncertainty. By the delta operator approach, the discrete-time nonlinear system is described by a T-S fuzzy model with unmeasurable state. By singular value decomposition of system input matrix, a reduced-order system is obtained for the design of sliding mode surface. A new adaptive sliding mode controller based on system output is presented to guarantee that the closed-loop system is uniformly ultimately bounded. Four examples are provided to illustrate the effectiveness and applicability of the proposed control scheme. |
Keywords: | Actuator saturation; adaptive sliding mode control; delta operator approach; Takagi-Sugeno (T-S) fuzzy model |
Rights: | © 2015 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications standards/publications/rights/index.html for more information. |
DOI: | 10.1109/TFUZZ.2015.2513085 |
Grant ID: | http://purl.org/au-research/grants/arc/DP140102180 http://purl.org/au-research/grants/arc/LP140100471 |
Published version: | http://dx.doi.org/10.1109/tfuzz.2015.2513085 |
Appears in Collections: | Aurora harvest 8 Electrical and Electronic Engineering publications |
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