Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/123307
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Type: Journal article
Title: Sampled-data fuzzy control for a class of nonlinear systems with missing data and disturbances
Author: Liu, W.
Lim, C.
Shi, P.
Xu, S.
Citation: Fuzzy Sets and Systems, 2017; 306:63-86
Publisher: Elsevier BV
Issue Date: 2017
ISSN: 0165-0114
1872-6801
Statement of
Responsibility: 
Wenhui Liu, Cheng-Chew Lim, Peng Shi, Shengyuan Xu
Abstract: This paper considers the sampled-data fuzzy control of nonlinear systems in strict feedback form with disturbances and random missing input data. We propose a novel method in which a state observer and a disturbance observer are combined to construct a sampled-data fuzzy output feedback controller. The stochastic variables with a Bernoulli distributed sequence are used to model missing input data. Fuzzy logic systems are applied to approximate nonlinearities without requiring prior knowledge. The relation between observer gain and sampling period is established. The output feedback controller designed guarantees that the nonlinear system is globally stable. A simulation example of four degrees of freedom robotic arm is used to demonstrate the effectiveness and applicability of the proposed control scheme.
Keywords: Fuzzy logic systems; Sampled-data control; State observer; Disturbance observer; Missing input data
Description: Available online 31 March 2016
Rights: © 2016 Elsevier B.V. All rights reserved.
RMID: 0030046611
DOI: 10.1016/j.fss.2016.03.011
Grant ID: http://purl.org/au-research/grants/arc/DP140102180
http://purl.org/au-research/grants/arc/LP140100471
http://purl.org/au-research/grants/arc/LE150100079
Appears in Collections:Electrical and Electronic Engineering publications

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