Takagi Sugeno Fuzzy Model
Mostrando 13-17 de 17 artigos, teses e dissertações.
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13. Propostas de metodologias para identificação e controle inteligentes / Proposals of methodologies for intelligent identification and control
This thesis presents proposals of methodologies for intelligent identification and control. A methodology for nonlinear dynamic discrete time systems identification, based on the instrumental variable method and Takagi-Sugeno fuzzy model, is presented. In this methodology, which is an extension of the standard instrumental variable method, the chosen instrum
Publicado em: 2005
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14. Sintese de um controlador hibrido fuzzy-preditivo : aplicação para processos de polimerização
This work presents the development of a new predictive controller based in functional fuzzy models for polymerizatíon processes. These processes present a highly non-linear dynamic behavior, thus making difficult the development of controllers based on model as conventional predictive controllers. Two case studies were considered to analyse the performance
Publicado em: 2003
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15. Fuzzy logic for non-conventional control of an intelligent beam. / Lógica difusa para controle não convencional de uma viga inteligente.
The advances in aeronautical industry have been ensured by the application of novel technologies. For aeroelastic control the intelligent structure concept has become increasingly important. An intelligent structure is a structural control system in which structural elements, sensors, actuators, control laws, associated electronics, and signal processing are
Publicado em: 2001
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16. Controle preditivo utilizando um modelo nebuloso
This work presents the predictive control of nonlinear systems using a Takagi-Sugeno fuzzy mode!. This modeling method allows the representation of a nonlinear system as a interpolation of local linear models. Two methods of control signal calculation are presented: by linearizing the modeI at each time instant and by linearizing the model through the proc
Publicado em: 2000
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17. NEURO-FUZZY BSP HIERARCHICAL SYSTEM FOR TIME FORECASTING AND FUZZY RULE EXTRACTION DOR DATA MINING APPLICATONS / SISTEMA NEURO-FUZZY HIERÁRQUICO BSP PARA PREVISÃO E EXTRAÇÃO DE REGRAS FUZZY EM APLICAÇÕES DE DATA MINING
This dissertation investigates the use of a Neuro-Fuzzy Hierarchical system for time series forecasting and fuzzy rule extraction for Data Mining applications. The objective of this work was to extend the Neuro-Fuzzy BSP Hierarchical model for the classification of registers and time series forecasting. The process of classification of registers in the Data
Publicado em: 2000