The publications listed below are either directly or indirectly related to the project. Thus, publications in the fields of biomedicine and biotechnology have been included. Also, publications concerning methodologies of potential use in systems biology have been listed.






Publications listed by year:   2012    2013


  1. Nuñez SBattista DHGarelli FVignoni APicó J.  2013. Second-Order Sliding Mode Observer for Multiple Kinetic Rates Estimation in Bioprocesses. Control Engineering Practice. 21(9):1259-1265.
  2. A. Ferrer, Latent Structures based-Multivariate Statistical Process Control: a paradigm shift (with discussion), Quality Engineering  26 (1) (2014) págs. 72-101
  3. Vignoni A, Garelli F, Picó J.  2013 Coordinación de sistemas con diferentes dinámicas utilizando conceptos de invarianza geométrica y modos deslizantes. Revista Iberoamericana de Automática e Informática industrial. 10(4):390-401.
  4. S. Vidal, A. Ferrer, A comparative Study of Different Methodologies for Fault Diagnosis in Multivariate Quality Control, Communications in Statistics: Simulations & Computations 43 (5) (2014) págs. 986-1005
  5. Picó-Marco E.  2013.  Differential Algebra for Control Systems Design. Computation of Canonical Forms.. Control Systems Magazine. 33(2):52-62.
  6. J. Camacho, A. Ferrer, Cross-validation in PCA models with the element-wise k-fold (ekf) algorithm: Practical Aspects, Chemometrics and Intelligent Laboratory Systems 131 (2014) 37-50
  7. Revert A, Garelli F, Picó J, De Battista H, Rossetti P, Vehi J, Bondia J.  2013.  Safety Auxiliary Feedback Element for the Artificial Pancreas in Type 1 Diabetes. IEEE Trans. on Biomedical Engineering. 60(8):2113-2122.
  8. J.M. González-Martínez, R. Vitale, O.E. de Noord, A. Ferrer, Effect of synchronization on bilinear batch process modeling, Industrial and Engineering Chemistry Research 53 (11) (2014) 4339–4351
  9. Picó JPicó-Marco E.; Vignoni A.; De Battista H. 2013.  Stability preserving maps for finite-time convergence: Super-twisting sliding mode algorithm. Automatica, 49 (2) 534-539.


  10. J.M. González-Martínez, J. Westerhuis, A. Ferrer: Using warping information for batch process monitoring and fault classification, Chemometrics and Intelligent Laboratory Systems 127 (2013) págs. 210-217
  11. Vignoni A, Garelli F., Picó J..  2013.  Sliding mode reference coordination of constrained feedback systems. Mathematical Problems in Engineering. 2013
  12. F. Arteaga, A. Ferrer: Building covariance matrices with the desired structure, Chemometrics and Intelligent Laboratory Systems 127 (2013) págs. 80-88
  13. J. Kuligowski, D. Pérez-Guaita, J. Escobar, M. de la Guardia, M. Vento, A. Ferrer, G. Quintas, Evaluation of the effect of chance correlations on variable selection using Partial Least Squares -Discriminant Analysis, Talanta 116 (2013), págs. 835-840


  1. Tortajada M, Llaneras F, Ramón D, Picó J.  2012. Estimation of recombinant protein production in Pichia pastoris based on a constraint-based model. Journal of Process Control,  22(6):1139-1151.

  2. Higuera, C., A.F. Villaverde, J.R. Banga, J. Ross, and F. Morán.  2012. Multi-Criteria Optimization of Regulation in Metabolic Networks. PLoS ONE 7(7): e41122.

  3. De Battista HPicó JGarelli FNavarro J.  2012.  Reaction rate reconstruction from biomass concentration measurement in bioreactors using modified second-order sliding mode algorithmsBioprocess and Biosystems Engineering. 35(9):1615-1625.

  4. Camacho, J.; Ferrer A.  2012.  Cross-validation in PCA models with the element-wise k-fold (ekf) algorithm: Theoretical aspectsJournal of Chemometrics, 26(7): 361-373.

  5. Villaverde, A.F., J.A. Egea and J.R. Banga 2012.  A cooperative strategy for parameter estimation in large scale systems biology models. BMC Systems Biology 6:75.

  6. Prats-Montalbán, J.M.; Jérez-Rojo J.I.; Romamach, R.J.; Ferrer, A. 2012.  MIA and NIR Chemical Imaging for pharmaceutical product characterizationChemometrics and Intelligent Laboratory Systems, 117: 240–249.

  7. Vilas, C., E. Balsa-Canto, M. S. G. Garcia, J. R. Banga and A. A. Alonso. 2012. Dynamic optimization of distributed biological systems using robust and efficient numerical techniques. BMC Systems Biology 6:79.

  8. Tarazona, S.; Prado-López, S.; Dopazo, J.; Ferrer, A. ; Conesa, A. 2012.  Variable selection for multifactorial genomic dataChemometrics and Intelligent Laboratory Systems, 110: 113-122.

  9. De Battista HPicó JPicó-Marco E.  2012.  Nonlinear PI control of fed-batch processes for growth rate regulationJournal of Process Control. 22:789-797

  10. Otero-Muras, I., Julio R. Banga and Antonio A. Alonso.  2012.  Characterizing Multistationarity Regimes in Biochemical Reaction NetworksPLoS ONE 7(7):e39194.

  11. Guillermo Quintas; Nuria Portillo; Juan Carlos García-Cañaveras; Jose Vicente Castell; Alberto Ferrer; Agustin Lahoz. 2012.  Chemometric approaches to improve PLSDA model outcome for predicting human non-alcoholic fatty liver disease using UPLC-MS as a metabolic profiling toolMetabolomics, 8 (1): 86-98.

  12. Szederkenyi G., Banga J.R., Alonso A.A. 2012.  CRNreals: a toolbox for distinguishability and identifiability analysis of biochemical reaction networks. Bioinformatics 28(11):1549-1550. (software) 

  13. Rodriguez-Fernandez, M., Banga, J. R., and Doyle, F. J. 2012.  Novel global sensitivity analysis methodology accounting for the crucial role of the distribution of input parameters: application to systems biology models. Int. J. of Robust and Nonlinear Control 22(10):1082-1102.  

  14. José Nueda, Alberto Ferrer, Ana Conesa. 2012. ARSyN: a method for the identification and removal of systematic noise in multifactorial time-course microarray experiments. Biostatistics, 13 (3): 553-566.

  15. Balsa-Canto, E., J.R. Banga, J.A. Egea, A. Fernandez-Villaverde and G.M. de Hijas-Liste. 2012.  Global optimization in systems biology: stochastic methods and their applications. Advances in Experimental Medicine and Biology 736:409-424.