T S Fuzzy Systems
Mostrando 1-4 de 4 artigos, teses e dissertações.
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1. Fluxo de carga trifasico com modelagem de incertezas via função de pertinencia sinusoidal / Three-phase power flow with modelling of sinusoidal membership function
A fuzzy direct approach for unbalanced three-phase distribution load flow solutions was developed in this work. The special topological characteristics of distribution networks have been fully utilized to make the direct solution possible. Due to the distinctive solution techniques of the proposed method, the time-consuming LU decomposition and forward/backw
Publicado em: 2010
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2. Identificação fuzzy-multimodelos para sistemas não lineares
Este trabalho apresenta uma nova técnica de identificação multimodelos baseada em ANFIS para sistemas não lineares. Nesta técnica, a estrutura utilizada é do tipo fuzzy Takagi-Sugeno cujos consequentes são modelos lineares locais que representam o sistema em diferentes pontos de operação e os antecedentes são funções de pertinência cujos ajustes
Publicado em: 2010
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3. DEVELOPMENT OF AN ARTIFICIAL NEURAL NETWORK FOR MONITORING AND DIAGNOSIS OF SENSOR FAULT AND DETECTION IN THE IEA-R1 RESEARCH REACTOR AT IPEN / "Utilização de redes neurais artificiais na monitoração e detecção de falhas em sensores do Reator IEA-R1"
The increasing demand on quality in production processes has encouraged the development of several studies on Monitoring and Diagnosis Systems in industrial plant, where the interruption of the production due to some unexpected change can bring risk to the operators security besides provoking economic losses, increasing the costs to repair some damaged equ
Publicado em: 2006
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4. Guaranteed cost fuzzy controllers for a class of uncertain nonlinear dynamic systems
Stability analysis and a systematic robust fuzzy control design for uncertain nonlinear systems with polytopic uncertainties are presented. The approach given uses the T-S fuzzy systems which are represented by a family of local uncertain linear systems with aggregation. The resulting fuzzy controller is a blending of state feedback gains obtained from a gua
Computational & Applied Mathematics. Publicado em: 2005-04