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Robust Adaptive Fuzzy Control by Backstepping for a Class of MIMO Nonlinear Systems

Authors
Lee, Hyeongcheol
Issue Date
Apr-2011
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Keywords
Backstepping technique; fuzzy control; multiple-input-multiple-output (MIMO) nonlinear system; robust adaptive control
Citation
IEEE TRANSACTIONS ON FUZZY SYSTEMS, v.19, no.2, pp.265 - 275
Indexed
SCIE
SCOPUS
Journal Title
IEEE TRANSACTIONS ON FUZZY SYSTEMS
Volume
19
Number
2
Start Page
265
End Page
275
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/168743
DOI
10.1109/TFUZZ.2010.2095859
ISSN
1063-6706
Abstract
This paper presents a robust adaptive control method for a class of multi-input-multi-output (MIMO) nonlinear systems that are transformable to a parametric-strict-feedback form which has couplings among input channels and the appearance of parametric uncertainties in the input matrices. The proposed approach effectively combines the design techniques of robust adaptive control by backstepping and adaptive fuzzy-logic control in order to remove the matching-condition requirement and to provide boundedness of tracking errors, even under dominant model uncertainties and poor parameter adaptation. Unlike previous robust adaptive fuzzy controls of MIMO nonlinear systems, this research introduces the robustness terms explicitly in the controller structure to counteract the effects of model uncertainties and parameter-adaptation errors. Uniform boundedness of the MIMO nonlinear control system is proved, and simulation results further validate the effectiveness and performance of the proposed control method.
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COLLEGE OF ENGINEERING (MAJOR IN ELECTRICAL ENGINEERING)
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