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
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Creator |
Xu Bing Hong
Kaneko Makoto
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Source Title |
IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans
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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.
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Keywords |
identification
controll system
neural networks
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NDC |
Mechanical engineering [ 530 ]
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Language |
eng
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Resource Type | journal article |
Publisher |
IEEE
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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.
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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
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