Grupo de Supervisión y Control de procesos
Departamento de Informatica y automatica. Facultad de Ciencias.
 
Diapositiva6

After 2009

  •  De Villeros, P., Botero, H. and Alvarez, H. State observer design for biomass and ethanol estimation in bioreactors using cybernetic models. DYNA, Revista de la Facultad de Minas.  No. 198. pp 119-127.(2016).
  • H.Hoyos, E., López, D. and Alvarez, A phenomenologically based material flow model for friction stir welding. Material and Design 111. Pp. 321-330. 2016. (2016).
  • Francisco, M., Skogestad, S.,  Vega, P.  Model predictive control for the self-optimised operation in Wastewater treatment plants: Analysis of dynamic issues. Computers and Chemical Engineering vol 82, 259-272 (2015).
  • M. Francisco, S. Skogestad y P. Vega. Model predictive control for the self-optimized operation in wastewater treatment plants. Computers and Chemical Engineering, 82, 259-272 (2015).
  • P. Vega, S. Revollar, M. Francisco y J.M. Martín. Integration of set point optimization techniques into nonlinear MPC for improving the operation of WWTPs. Computers and Chemical Engineering, 68, 78-95 (2014).
  • P. Vega, R. Lamanna, S. Revollar y M. Francisco. Integrated design and control of chemical processes – Part II: An illustrative example. Computers and Chemical Engineering, 71, 618-635 (2014).
  • P. Vega, R. Lamanna, S. Revollar y M. Francisco. Integrated design and control of chemical processes – Part I: Revision and Classification. Computers and Chemical Engineering, 71, 602-617 (2014).
  • El Bahja, H., Veja, P. Nonlinear Feedback Control Based on Positive Invariance for A Nutrient Removal  Biological Plant. International Journal of Innovative Computing, Information and Control, Vol.10, Issue 3 (2014).
  • Vega,P., Revollar, S., Francisco,M., Martin, J.MIntegration of set point optimization techniques into nonlinear MPC for improving the operation of WWTPs. Computers and Chemical Engineering, vol: 68 pp 78-95  (2014).
  • Vega P., Lamanna R., Revollar S., Francisco, M. Simultaneous design and control of chemical processes – part I : revision and classification. Computers and Chemical Engineering. vol: 71. pp: 602- 617. (2014).
  • Vega P., Lamanna R., Revollar S., M. Francisco.  Simultaneous design and control of chemical processes – part II: An illustrative example. Computers and Chemical Engineering vol: 71. pp:618- 635 (2014).
  • Monsalve, G., Moscoso, M., Alvarez, H.  Scale-up of batch reactors using phenomenological-based models. Industrial & Engineering Chemistry Research. DOI 10.1021/ie500058r. April 24, (2014).
  • Moscoso-Vásquez, H.M., Monsalve-Bravo, G.M. and Alvarez, H. Model-based supervisory control structure for plantwide control of a Reactor-Separator-Recycle plant. Industrial & Engineering Chemistry Research. December 3, (2014).
  • Gómez, L., Botero, H., Alvarez, H. y di Sciascio,F. Análisis de la controlabilidad de estado de sistemas irreversibles mediante teoría de conjuntos. Revista Iberoamericana de Automática e Informática Industrial (RIAI) (2014).
  • Gómez-Pérez, C.A., Gómez, L.M. and Alvarez, H. Reference trayectory design using state controllability for batch processes. Industrial & Engineering Chemistry Research. March 17, 2015. Vol. 54 (15) (2014).
  • Botero, H., Alvarez, H. y Gómez, L. Estimación de estado y control de un gasificador de carbón en lecho fluidizado presurizado. Revista Iberoamericana de Automática e Informática Industrial (RIAI), Vol. 10. No. 3. Madrid, (2013).
  • Botero, H. and Alvarez, H. Non Linear State and Parameters Estimation in Chemical Processes: Analysis and Improvement of Three Estimation Structures Applied to a CSTR. International Journal of Chemical Reactor Engineering. Vol. 9: A6. January (2011).
  • Francisco , M., Vega, P., Álvarez, H. Robust Integrated Design of Processes with terminal penalty model predictive controllers. Chemical Engineering Research and Design, 89, 1011-1024. (2011) .
  • H. Elbahja, P. Vega y O. Bakka. Investigation of Different Control Strategies for the Wastewater Treatment Plant. Remote Sensing of Biomass: Principles and Applications, 179-194 Book 3, ISBN 978-953-307-491-7 (2011).
  • H. Álvarez, R. Lamanna, P. Vega y S. Revollar. Purificación y clarificación del jugo de caña de azúcar. Libro blanco del control automático en la industria de la caña de azúcar. ISBN: 978-84-614-8008-1, Depósito legal: VA-385-2011 (2011).
  •  M. Francisco, P. Vega y H. Alvarez.Robust Integrated Design of Processes with terminal penalty model predictive controllers. Chemical Engineering Research and Design, vol.89, 1011-1024 (2011).
  • S. Revollar, M. Francisco, R. Lamanna y P. Vega. Stochastic Optimization for the Simultaneous Synthesis and Control System Design of an Activated Sludge Process. Latin American Applied Research, 40, 137-146. ISSN: 0327-0793 (2010).
  • M. Francisco y P. Vega. Automatic tuning of model based predictive controllers based on Multiobjective Optimization. Latin American Applied Research, 40, 255-265. ISSN: 0327-0793 (2010).
  • A. Gajate, R. Haber, R. del Toro y P. Vega. Tool Wear Monitoring Using Neuro-Fuzzy Techniques. A Comparative Study in a Turning Process. Journal of Intelligent Manufacturing DOI: 10.1007/s10845-010-0443-y. Versión on-line (2010).
  • A. Gajate, R. Haber y P. Vega. A Transductive Neuro-Fuzzy Control. An Application to a Drilling Process. IEEE Transactions on Neural Networks. Vol 21 Issue:7, pp: 1158 – 1167 ISSN: 1045-9227. Digital Object Identifier: 10.1109/TNN.2010.2050602.
  • R. Lamanna, P. Vega, S. Revollar y H. Álvarez. Diseño simultáneo de proceso y control de una torre sulfitadora de jugo de caña de azúcar. Revista Iberoamericana de Automática e Informática Industrial. Vol. 6, Núm. 3, pp 32-43, Julio 2009. ISSN: 1697-7912 (ver. impresa); ISSN: 1697-7920 (ver. electrónica).
  • H. Álvarez, R. Lamanna, S. Revollar y P. Vega. Metodología para la obtención de modelos semifísicos de base fenomenológica aplicada a una sulfitadora de jugo de caña de azúcar. Revista Iberoamericana de Automática e Informática Industrial. Vol. 6, Núm. 3, pp 10-20, Julio 2009. ISSN: 1697-7912 (ver. impresa); ISSN: 1697-7920 (ver. electrónica).
  • A. Gajate, R. Haber, J. R. Alique y P. Vega. Transductive-Weighted Neuro-Fuzzy Inference System for Tool Wear Prediction in a Turning Process. Lecturer Notes in Computing Sciences. Hybrid Artificial Intelligence Systems. Volume 5572/2009, 113-120, DOI: 10.1007/978-3-642-02319- 4_14 (2009).
  • A. Gajate, R. Haber y P. Vega. A Transductive Neuro-Fuzzy Force Control. An Ethernet-based Application to a Drilling Process. Neural Information Processing. Lecturer Notes in Computing Sciences Volume 5864/2009, 573-582 (2009) DOI: 10.1007/978-3-642-10684-2_64.