Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/102992
Type: Artigo de evento
Title: Neuro Genetic Fuzzy System For Gain Scheduling Adaptive Control Design
Author: Serra G.L.O.
Bottura C.P.
Abstract: This paper proposes a Gain Scheduling adaptive control scheme based on fuzzy systems, neural networks and genetic algorithms: an optimal fuzzy PI controller is developed, by a genetic algorithm, according to some design specifications, and a neural network is designed to learn and tune on-line the fuzzy controller parameters at different operating points from ones used in the learning process. Simulation results are shown to demonstrate the efficiency of the proposed structure for DC servomotor adaptive speed control design. © 2006 IEEE.
Editor: 
Rights: fechado
Identifier DOI: 10.1109/ISDA.2006.203
Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-34547551168&partnerID=40&md5=1d022a1ac047344c102afe3ead29c896
Date Issue: 2006
Appears in Collections:Unicamp - Artigos e Outros Documentos

Files in This Item:
File Description SizeFormat 
2-s2.0-34547551168.pdf301.47 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.