Indirect adaptive control for synchronous generator: Comparison of MLP/RBF neural networks approach with Lyapunov stability analysis

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

doi:10.1109/TNN.2004.824260

Indirect adaptive control for synchronous generator: Comparison of MLP/RBF neural networks approach with Lyapunov stability analysis

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

Department of Electrical and Electronic Engineering

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

27 Citations (Scopus)

Abstract

This paper compares two indirect adaptive neurocontrollers, namely a multilayer perceptron neurocontroller (MLPNC) and a radial basis function neurocontroller (RBFNC) to control a synchronous generator. The different damping and transient performances of two neurocontrollers are compared with those of conventional linear controllers, and analyzed based on the Lyapunov direct method.

Original language	English
Pages (from-to)	460-464
Number of pages	5
Journal	IEEE Transactions on Neural Networks
Volume	15
Issue number	2
DOIs	https://doi.org/10.1109/TNN.2004.824260
Publication status	Published - 2004 Mar

Bibliographical note

Funding Information:
Manuscript received August 28, 2002; revised June 25, 2003. This work was supported in part by the National Science Foundation (NSF), under Grant ECS-0080764 and in part by the Duke Power Company, Charlotte, NC.

All Science Journal Classification (ASJC) codes

Software
Computer Science Applications
Computer Networks and Communications
Artificial Intelligence

Access to Document

10.1109/TNN.2004.824260

Cite this

@article{103f3383f5b9471c87fa3fd4e4738882,

title = "Indirect adaptive control for synchronous generator: Comparison of MLP/RBF neural networks approach with Lyapunov stability analysis",

abstract = "This paper compares two indirect adaptive neurocontrollers, namely a multilayer perceptron neurocontroller (MLPNC) and a radial basis function neurocontroller (RBFNC) to control a synchronous generator. The different damping and transient performances of two neurocontrollers are compared with those of conventional linear controllers, and analyzed based on the Lyapunov direct method.",

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

note = "Funding Information: Manuscript received August 28, 2002; revised June 25, 2003. This work was supported in part by the National Science Foundation (NSF), under Grant ECS-0080764 and in part by the Duke Power Company, Charlotte, NC.",

year = "2004",

month = mar,

doi = "10.1109/TNN.2004.824260",

language = "English",

volume = "15",

pages = "460--464",

journal = "IEEE Transactions on Neural Networks and Learning Systems",

issn = "2162-237X",

publisher = "IEEE Computational Intelligence Society",

number = "2",

}

TY - JOUR

T1 - Indirect adaptive control for synchronous generator

T2 - Comparison of MLP/RBF neural networks approach with Lyapunov stability analysis

AU - Park, Jung Wook

AU - Harley, Ronald G.

AU - Venayagamoorthy, Ganesh K.

N1 - Funding Information: Manuscript received August 28, 2002; revised June 25, 2003. This work was supported in part by the National Science Foundation (NSF), under Grant ECS-0080764 and in part by the Duke Power Company, Charlotte, NC.

PY - 2004/3

Y1 - 2004/3

N2 - This paper compares two indirect adaptive neurocontrollers, namely a multilayer perceptron neurocontroller (MLPNC) and a radial basis function neurocontroller (RBFNC) to control a synchronous generator. The different damping and transient performances of two neurocontrollers are compared with those of conventional linear controllers, and analyzed based on the Lyapunov direct method.

AB - This paper compares two indirect adaptive neurocontrollers, namely a multilayer perceptron neurocontroller (MLPNC) and a radial basis function neurocontroller (RBFNC) to control a synchronous generator. The different damping and transient performances of two neurocontrollers are compared with those of conventional linear controllers, and analyzed based on the Lyapunov direct method.

UR - http://www.scopus.com/inward/record.url?scp=2442484777&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=2442484777&partnerID=8YFLogxK

U2 - 10.1109/TNN.2004.824260

DO - 10.1109/TNN.2004.824260

M3 - Article

C2 - 15384538

AN - SCOPUS:2442484777

SN - 2162-237X

VL - 15

SP - 460

EP - 464

JO - IEEE Transactions on Neural Networks and Learning Systems

JF - IEEE Transactions on Neural Networks and Learning Systems

IS - 2

ER -

Indirect adaptive control for synchronous generator: Comparison of MLP/RBF neural networks approach with Lyapunov stability analysis

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this