Genetically optimized neuro-fuzzy IPFC for damping modal oscillations of power system

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Genetically optimized neuro-fuzzy IPFC for damping modal oscillations of power system

An integrated approach of radial basis function neural network (RBFNN) and Takagi-Sugeno (TS) fuzzy scheme with a genetic optimization of their parameters has been developed in this paper to design intelligent adaptive controllers for improving the transient stability performance of power systems. A...

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Bibliographic Details
Main Authors:	Mishra, S., Dash, P.K., Hota, P.K., Tripathy, M.
Format:	Article
Language:	English
Published:	2002
Subjects:	TA Engineering (General). Civil engineering (General)
Online Access:	http://shdl.mmu.edu.my/2625/ http://shdl.mmu.edu.my/2625/1/1885.pdf

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