Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/85617
Type: Artigo de evento
Title: Real-time Nonlinear Modeling Of A Twin Rotor Mimo System Using Evolving Neuro-fuzzy Network
Author: Silva A.
Caminhas W.
Lemos A.
Gomide F.
Abstract: This paper presents an evolving neuro-fuzzy network approach (eNFN) to model a twin rotor MIMO system (TRMS) with two degrees of freedom in real-time. The TRMS is a fast, nonlinear, open loop unstable time-varying dynamic system, with cross coupling between the rotors. Modeling and control of TRMS require high sampling rates, typically in the order of milliseconds. Actual laboratory implementation shows that eNFN is fast, effective, and accurately models the TRMS in real-time. The eNFN captures the TRMS system dynamics quickly, and develops precise low cost models from the point of view of time and space complexity. The results suggest eNFN as a potential candidate to model complex, fast time-varying dynamic systems in real-time.
Editor: Institute of Electrical and Electronics Engineers Inc.
Rights: fechado
Identifier DOI: 10.1109/CICA.2014.7013229
Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-84922874901&partnerID=40&md5=3304855b9a082a893a4b89d1a454c984
Date Issue: 2015
Appears in Collections:Unicamp - Artigos e Outros Documentos

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