Comparison of MLP and RBF neural networks using deviation signals for indirect adaptive control of a synchronous generator

Jung Wook Park; Ronald G. Harley; Ganesh K. Venayagamoorthy

Comparison of MLP and RBF neural networks using deviation signals for indirect adaptive control of a synchronous generator

Jung Wook Park, Ronald G. Harley, Ganesh K. Venayagamoorthy

Department of Electrical and Electronic Engineering

Research output: Contribution to conference › Paper › peer-review

9 Citations (Scopus)

Abstract

This paper compares the performances of a multilayer perceptron neurocontroller (MLPNC) and a radial basis function neurocontroller (RBFNC) for backpropagation through time based indirect adaptive control of the synchronous generator. Also, the neurocontrollers are compared with the conventional controller for small as well as large disturbances to the power system.

Original language	English
Pages	919-924
Number of pages	6
Publication status	Published - 2002
Event	2002 International Joint Conference on Neural Networks (IJCNN '02) - Honolulu, HI, United States Duration: 2002 May 12 → 2002 May 17

Other

Other	2002 International Joint Conference on Neural Networks (IJCNN '02)
Country/Territory	United States
City	Honolulu, HI
Period	02/5/12 → 02/5/17

All Science Journal Classification (ASJC) codes

Software
Artificial Intelligence

Cite this

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title = "Comparison of MLP and RBF neural networks using deviation signals for indirect adaptive control of a synchronous generator",

abstract = "This paper compares the performances of a multilayer perceptron neurocontroller (MLPNC) and a radial basis function neurocontroller (RBFNC) for backpropagation through time based indirect adaptive control of the synchronous generator. Also, the neurocontrollers are compared with the conventional controller for small as well as large disturbances to the power system.",

author = "Park, {Jung Wook} and Harley, {Ronald G.} and Venayagamoorthy, {Ganesh K.}",

year = "2002",

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pages = "919--924",

note = "2002 International Joint Conference on Neural Networks (IJCNN '02) ; Conference date: 12-05-2002 Through 17-05-2002",

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Comparison of MLP and RBF neural networks using deviation signals for indirect adaptive control of a synchronous generator. / Park, Jung Wook; Harley, Ronald G.; Venayagamoorthy, Ganesh K.
2002. 919-924 Paper presented at 2002 International Joint Conference on Neural Networks (IJCNN '02), Honolulu, HI, United States.

Research output: Contribution to conference › Paper › peer-review

TY - CONF

T1 - Comparison of MLP and RBF neural networks using deviation signals for indirect adaptive control of a synchronous generator

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AU - Harley, Ronald G.

AU - Venayagamoorthy, Ganesh K.

PY - 2002

Y1 - 2002

N2 - This paper compares the performances of a multilayer perceptron neurocontroller (MLPNC) and a radial basis function neurocontroller (RBFNC) for backpropagation through time based indirect adaptive control of the synchronous generator. Also, the neurocontrollers are compared with the conventional controller for small as well as large disturbances to the power system.

AB - This paper compares the performances of a multilayer perceptron neurocontroller (MLPNC) and a radial basis function neurocontroller (RBFNC) for backpropagation through time based indirect adaptive control of the synchronous generator. Also, the neurocontrollers are compared with the conventional controller for small as well as large disturbances to the power system.

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M3 - Paper

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T2 - 2002 International Joint Conference on Neural Networks (IJCNN '02)

Y2 - 12 May 2002 through 17 May 2002

ER -

Comparison of MLP and RBF neural networks using deviation signals for indirect adaptive control of a synchronous generator

Abstract

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All Science Journal Classification (ASJC) codes

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