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https://hdl.handle.net/2440/101016
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Type: | Journal article |
Title: | Fuzzy adaptive control design and discretization for a class of nonlinear uncertain systems |
Author: | Zhao, X. Shi, P. Zheng, X. |
Citation: | IEEE Transactions on Cybernetics, 2016; 46(6):1476-1483 |
Publisher: | Institute of Electrical and Electronics Engineers |
Issue Date: | 2016 |
ISSN: | 2168-2267 2168-2275 |
Statement of Responsibility: | Xudong Zhao, Peng Shi, and Xiaolong Zheng |
Abstract: | In this paper, tracking control problems are investigated for a class of uncertain nonlinear systems in lower triangular form. First, a state-feedback controller is designed by using adaptive backstepping technique and the universal approximation ability of fuzzy logic systems. During the design procedure, a developed method with less computation is proposed by constructing one maximum adaptive parameter. Furthermore, adaptive controllers with nonsymmetric deadzone are also designed for the systems. Then, a sampled-data control scheme is presented to discretize the obtained continuous-time controller by using the forward Euler method. It is shown that both proposed continuous and discrete controllers can ensure that the system output tracks the target signal with a small bounded error and the other closedloop signals remain bounded. Two simulation examples are presented to verify the effectiveness and applicability of the proposed new design techniques. |
Keywords: | Adaptive control; fuzzy approximator; nonlinear systems; sampled-data control |
Rights: | © 2015 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. |
DOI: | 10.1109/TCYB.2015.2447153 |
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 |
Published version: | http://dx.doi.org/10.1109/tcyb.2015.2447153 |
Appears in Collections: | Aurora harvest 7 Electrical and Electronic Engineering publications |
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