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Listar por palabra clave "Model reduction"

Mostrando ítems 1-5 de 5

Identificación, optimización y control multivariable de sistemas dinamicos: aplicación a un prototipo de horno

Hernández Mejías, Manuel Alejandro (Universitat Politècnica de València, 2014-10-24)

[EN] This paper addresses the application of a methodology for modeling, identification and control of multivariable systems, on a platform that represents the characteristics of an industrial furnace, presenting ...
Improving accuracy of parallel SLICOT model reduction routines for stable systems

Guerrero López, David; Román Moltó, José Enrique (IEEE, 2015-06-16)

This paper shows part of the work carried out to develop parallel versions of the SLICOT routines for model reduction of stable systems. In particular, the routines that have been parallelised are those based on the ...
Modelado de sistemas bioquímicos: De la Ley de Acción de Masas a la Aproximación Lineal del Ruido

Picó Marco, Jesús Andrés; Vignoni, Alejandro; Picó i Marco, Enric; Boada Acosta, Yadira Fernanda (Universitat Politècnica de València, 2015-07-10)

[EN] In the last decade we have witnessed a growing application of engineering techniques to biology. Areas such as Systems Biology or, more recently, Synthetic Biology, get more and more attention from the engineers. ...
Multiobjective Identification of a Feedback Synthetic Gene Circuit

Boada-Acosta, Yadira Fernanda; Vignoni, Alejandro; Picó, Jesús (Institute of Electrical and Electronics Engineers, 2020-01)

[EN] Kinetic (i.e., dynamic) semimechanistic models based on the first principles are particularly important in systems and synthetic biology since they can explain and predict the functional behavior that emerges from the ...
Una metodología para la identificación integrada con el diseño de controladores IMC-PID

Rivera Flores, Daniel Eduardo (Universitat Politècnica de València, 2007-11-07)

[EN] This paper describes, in tutorial fashion, an integrated identification and control design methodology that begins with dynamic modeling from plant data and concludes with parameter settings for high performance PID ...