José Ramón Rodríguez Ossorio

@inproceedings{Enguita2023principal,

title = {Principal Component Modes of Reservoir Dynamics in Reservoir Computing},

author = {José María Enguita and Ignacio Ignacio Díaz and Diego García and Abel A Cuadrado and José Ramón Rodríguez-Ossorio},

doi = {10.1007/978-3-031-34171-7_35},

isbn = {978-3-031-34204-2},

year  = {2023},

date = {2023-06-07},

urldate = {2023-06-07},

booktitle = {IFIP International Conference on Artificial Intelligence Applications and Innovations},

pages = {434–445},

publisher = {Springer Nature Switzerland},

address = {Cham},

keywords = {MACHINE LEARNING},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{RodriguezOssorio2023Adaptive,

title = {Adaptive Model for Industrial Systems Using Echo State Networks},

author = {José Ramón Rodríguez-Ossorio and Antonio Morán and Juan J Fuertes and Miguel A Prada and Ignacio Díaz and Manuel Domínguez},

doi = {10.1007/978-3-031-34204-2_31},

isbn = {978-3-031-34204-2},

year  = {2023},

date = {2023-06-07},

urldate = {2023-06-07},

booktitle = {Engineering Applications of Neural Networks},

pages = {367--378},

publisher = {Springer Nature Switzerland},

address = {Cham},

abstract = {When a model of an industrial system is developed, it is expected that this model performs consistently when applied to other identically designed systems. However, different operating hours, degradation or maintenance, among other circumstances, cause a change in the dynamics of the system and result in the model not performing as expected. For this reason, it is necessary to build a model that continuously adapts to changes in the dynamics of the system, in order to handle such deviations and thus reduce the estimation error.},

keywords = {AUTOMATIZACIÓN CONTROL Y SUPERVISIÓN INDUSTRIAL, MACHINE LEARNING},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{gonzalez2022control,

title = {Control de caudal con un sensor virtual basado en técnicas de deep learning},

author = { Raúl González-Herbón and José Ramón Rodríguez-Ossorio and Guzmán González-Mateos and Antonio Morán and Serafín Alonso and Juan J Fuertes},

doi = {10.17979/spudc.9788497498418.0368},

year  = {2022},

date = {2022-09-01},

urldate = {2022-01-01},

booktitle = {XLIII Jornadas de Automática},

pages = {368--375},

organization = {Universidade da Coruña. Servizo de Publicacións},

keywords = {AUTOMATIZACIÓN CONTROL Y SUPERVISIÓN INDUSTRIAL, INDUSTRIA 4.0, MACHINE LEARNING},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{nokey,

title = {Sensor virtual de caudal basado en técnicas de deep learning},

author = { José Ramón Rodríguez-Ossorio and Raúl González-Herbón and Guzmán González-Mateos and Antonio Morán and Miguel A Prada and Ignacio Díaz and Manuel Domínguez},

doi = {10.18002/simceaci},

year  = {2022},

date = {2022-06-29},

urldate = {2022-07-01},

booktitle = {XVII Simposio CEA de Control Inteligente},

journal = {XVII Simposio CEA de Control Inteligente},

pages = {81-86},

keywords = {INDUSTRIA 4.0, MACHINE LEARNING},

pubstate = {published},

tppubtype = {inproceedings}

}