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https://hdl.handle.net/2440/83545
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Type: | Journal article |
Title: | Fault-tolerant control for a class of nonlinear sampled-data systems via a Euler approximate observer |
Author: | Mao, Z. Jiang, B. Shi, P. |
Citation: | Automatica, 2010; 46(11):1852-1859 |
Publisher: | Pergamon-Elsevier Science Ltd |
Issue Date: | 2010 |
ISSN: | 0005-1098 1873-2836 |
Statement of Responsibility: | Zehui Mao, Bin Jiang, Peng Shi |
Abstract: | In this paper, a fault-tolerant control (FTC) scheme is developed for a class of nonlinear sampled-data systems. First, a Euler approximate discrete model is used to describe the plant under the sampling. Under this model, an observer-based fault estimation method is proposed. To guarantee the accuracy of both the state and fault estimation values, the conditions to make the approximate model consistent with the exact model are presented. Then, an active fault-tolerant controller, which has a constraint condition for the sampling time, is designed to make the faulty system stable. Finally, an inverted pendulum is used to show the efficiency of the proposed method. © 2010 Elsevier Ltd. All rights reserved. |
Keywords: | Fault-tolerant control Fault estimation Adaptive control Nonlinear sampled-data systems |
Rights: | © 2010 Elsevier Ltd. All rights reserved. |
DOI: | 10.1016/j.automatica.2010.06.052 |
Published version: | http://dx.doi.org/10.1016/j.automatica.2010.06.052 |
Appears in Collections: | Aurora harvest 4 Electrical and Electronic Engineering publications |
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