Adaptive Control and Identification Using One Neural Network for a Class of Plants with Uncertainties

IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans Volume 28 Issue 4 Page 496-505 published_at 1998
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Title ( eng )
Adaptive Control and Identification Using One Neural Network for a Class of Plants with Uncertainties
Creator
Xu Bing Hong
Kaneko Makoto
Source Title
IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans
Volume 28
Issue 4
Start Page 496
End Page 505
Abstract
This paper proposes a new neural adaptive control methodthat can perform adaptive control and identification for a class ofcontrolled plants with linear and nonlinear uncertainties. This methoduses a single neural network for both control and identification, and asufficient condition of the local asymptotic stability is derived. Then, inorder to illustrate the applicability of the proposed method, it is applied tothe torque control of a flexible beam that includes linear and nonlinearstructural uncertainties.
Keywords
identification
controll system
neural networks
NDC
Mechanical engineering [ 530 ]
Language
eng
Resource Type journal article
Publisher
IEEE
Date of Issued 1998
Rights
Copyright (c) 1998 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Publish Type Version of Record
Access Rights open access
Source Identifier
[ISSN] 1083-4427
[DOI] 10.1109/3468.686711
[NCID] AA1107090X
[DOI] http://dx.doi.org/10.1109/3468.686711