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Proceedings - 2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021(1)
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A Loop Pairing Method for Non-Linear Multivariable Control Systems under a Multi-Objective Optimization Approach
ArticleAbstract: In the multivariable control literature there are few techniques that face the problem of selectingPalabras claves:decentralized control structures, loop pairing, Multi-objective evolutionary optimization, multivariable control system, Non-linear systems, Pareto FrontAutores:Blasco X., Herrero J.M., Reynoso-Meza G., Victor Huilcapi SubiaFuentes:googlescopusApplication of an input-output pairings selection methodology to control multivariable systems based on multi-objective optimization
Conference ObjectAbstract: This paper shows a methodological approach to selecting input-output pairings and tuning controllersPalabras claves:design concept, input-ouput pairing, Multi-objective evolutionary optimization, multivariable control system, Nonlinear SystemAutores:Blasco X., Herrero J.M., Pajares A., Reynoso-Meza G., Victor Huilcapi SubiaFuentes:googlescopusMulti-objective optimization in modeling and control for rotary inverted pendulum
ArticleAbstract: This article shows the application of multi-objective optimization techniques, both for the identifiPalabras claves:Modeling, Multi-objective evolutionary optimization, Non-linear identification, Pareto Front, PID CONTROLAutores:Blasco X., Byron Lima, Byron Xavier Lima Cedillo, Herrero J.M., Victor Huilcapi SubiaFuentes:googlescopusNon-linear identification of a Peltier cell model using evolutionary multi-objective optimization
Conference ObjectAbstract: In this paper a technique for identifying a first principles model of a Peltier cell using Multi-ObjPalabras claves:identification, Level diagrams, Multi-objective evolutionary optimization, Multivariable system modeling, Pareto Front, Peltier cellAutores:Blasco X., Herrero J.M., Martínez-Iranzo M., Victor Huilcapi SubiaFuentes:googlescopus