A type of nonlinear adaptive inverse noise controller and its simulation

Ling Hui Yu; Jian Cheng Fang

A type of nonlinear adaptive inverse noise controller and its simulation

Ling Hui Yu^*
, Jian Cheng Fang

^*Corresponding author for this work

School of Instrumentation and Optoelectronic Engineering

Beihang University

Research output: Contribution to journal › Article › peer-review

Abstract

Based on Fuzzy Neural Network, the noise canceling problem of the nonlinear system was studied. A type of nonlinear adaptive noise controller was proposed. The merit of Fuzzy neural network which could accurately approximate any nonlinear system was applied to modeling and inverse modeling of nonlinear system and was supplied for the design of nonlinear adaptive noise controller. At last, the simulation is used to verify the effectiveness and feasibility of the proposed method.

Original language	English
Pages (from-to)	165-168
Number of pages	4
Journal	Xitong Fangzhen Xuebao / Journal of System Simulation
Volume	18
Issue number	1
State	Published - Jan 2006

Keywords

Adaptive inverse control
Adaptive inverse noise controller
Fuzzy neural network
Nonlinearity

Cite this

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title = "A type of nonlinear adaptive inverse noise controller and its simulation",

abstract = "Based on Fuzzy Neural Network, the noise canceling problem of the nonlinear system was studied. A type of nonlinear adaptive noise controller was proposed. The merit of Fuzzy neural network which could accurately approximate any nonlinear system was applied to modeling and inverse modeling of nonlinear system and was supplied for the design of nonlinear adaptive noise controller. At last, the simulation is used to verify the effectiveness and feasibility of the proposed method.",

keywords = "Adaptive inverse control, Adaptive inverse noise controller, Fuzzy neural network, Nonlinearity",

author = "Yu, \{Ling Hui\} and Fang, \{Jian Cheng\}",

year = "2006",

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language = "英语",

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journal = "Xitong Fangzhen Xuebao / Journal of System Simulation",

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AU - Yu, Ling Hui

AU - Fang, Jian Cheng

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N2 - Based on Fuzzy Neural Network, the noise canceling problem of the nonlinear system was studied. A type of nonlinear adaptive noise controller was proposed. The merit of Fuzzy neural network which could accurately approximate any nonlinear system was applied to modeling and inverse modeling of nonlinear system and was supplied for the design of nonlinear adaptive noise controller. At last, the simulation is used to verify the effectiveness and feasibility of the proposed method.

AB - Based on Fuzzy Neural Network, the noise canceling problem of the nonlinear system was studied. A type of nonlinear adaptive noise controller was proposed. The merit of Fuzzy neural network which could accurately approximate any nonlinear system was applied to modeling and inverse modeling of nonlinear system and was supplied for the design of nonlinear adaptive noise controller. At last, the simulation is used to verify the effectiveness and feasibility of the proposed method.

KW - Adaptive inverse control

KW - Adaptive inverse noise controller

KW - Fuzzy neural network

KW - Nonlinearity

UR - https://www.scopus.com/pages/publications/33344477807

M3 - 文章

AN - SCOPUS:33344477807

SN - 1004-731X

VL - 18

SP - 165

EP - 168

JO - Xitong Fangzhen Xuebao / Journal of System Simulation

JF - Xitong Fangzhen Xuebao / Journal of System Simulation

IS - 1

ER -

A type of nonlinear adaptive inverse noise controller and its simulation

Abstract

Keywords

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