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IEEE International Conference on Fuzzy Systems(6)
2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016(3)
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2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010(1)
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scopus(26)
Analysis and design of control strategies based on neural networks
Conference ObjectAbstract: In this paper, different control strategies based on neural networks are designed and compared by usPalabras claves:Neural Networks Models, Non Linear Identification, Non Linear Pbkp_redictive ControlAutores:Alayón M., Doris A. Saez, Veiga R.Fuentes:scopusA methodology based on evolutionary algorithms to solve a dynamic pickup and delivery problem under a hybrid pbkp_redictive control approach
ArticleAbstract: This paper presents a methodology based on generic evolutionary algorithms to solve a dynamic pickupPalabras claves:Dynamic pickup and delivery problem, Evolutionary algorithms, Pbkp_redictive controlAutores:Cortes C.E., Doris A. Saez, Munoz-Carpintero D., Núñez A.A.Fuentes:scopusA new method for hybrid-fuzzy identification
Conference ObjectAbstract: In this paper a new identification method for non-linear hybrid systems that have mixed continuous aPalabras claves:Fuzzy Clustering, fuzzy identification, Hybrid and distributed system identification, Nonlinear system identification, Principal Component AnalysisAutores:De Schutter B., Doris A. Saez, Núñez A.A., Skrjanc I.Fuentes:scopusA new method for identification of fuzzy models based on evolutionary algorithms and its application to the modeling of a wind turbine
Conference ObjectAbstract: This paper presents a novel fuzzy model identification method, which is based on Genetic AlgorithmsPalabras claves:Autores:Doris A. Saez, Moreno G., Orchard M.E.Fuentes:scopusA new method for identification of fuzzy models with controllability constraints
ArticleAbstract: Takagi–Sugeno fuzzy models are cataloged as universal approximators and have been proven to be a powPalabras claves:controllability, Fuzzy models, system identificationAutores:Doris A. Saez, Gutierrez L., Munoz-Carpintero D., Valencia F.Fuentes:scopusConsumption modeling based on Markov chains and Bayesian networks for a demand side management design of isolated microgrids
ArticleAbstract: This paper proposes a novel simulator of energy consumption patterns that allows designing demand siPalabras claves:Bayesian network, demand side management, Markov chain, microgridAutores:Doris A. Saez, Jiménez-Estévez G.A., Marin L.G., Orchard M.E., Roje T.Fuentes:scopusDesign of a supervisory pbkp_redictive controller based on fuzzy models
Conference ObjectAbstract: In this paper, a supervisory optimal control problem is presented. Fuzzy modelling is used to represPalabras claves:Autores:Cipriano A.Z., Doris A. SaezFuentes:scopusFuzzy Model Pbkp_redictive Control for Takagi & Sugeno Systems with Optimised Pbkp_rediction Dynamics
Conference ObjectAbstract: This paper presents the design of a Model Pbkp_redictive Control (MPC) strategy for Takagi & SugenoPalabras claves:Autores:Doris A. Saez, Munoz-Carpintero D., Nova M.Fuentes:scopusFuzzy and Neural Pbkp_rediction Intervals for Robust Control of a Greenhouse
Conference ObjectAbstract: A robust model pbkp_redictive control strategy based on fuzzy and neural pbkp_rediction intervals isPalabras claves:energy management, Greenhouse, Interval modeling, Model Pbkp_redictive Control, Robust controlAutores:Cartagena O., Doris A. Saez, Endo A., Ocaranza J., Poblete C.M.Fuentes:scopusFuzzy control on a laboratory environment
Conference ObjectAbstract: In this paper a model based fuzzy controller is designed and implemented. This algorithm is applied,Palabras claves:Autores:Cipriano A.Z., Doris A. Saez, Ramos M.Fuentes:scopus