Åström K., Wittenmark B. Adaptive control 1995, Addison-Wesley, Boston.
Banik G., Heath C. Partial and total cell retention in a filtration base homogeneous perfusion reactor. Biotechnology Progress 1995, 11:584-588.
Coutinho D., Vande Wouwer A. A robust non-linear feedback control strategy for a class of bioprocesses. IET Control Theory & Applications 2013, 7(6):829-841.
Dalm M., Cuijten S., van Grunsven W., Tramper J., Martens D. Effect of feed and bleed rate on hybridoma cells in an acoustic perfusion bioreactor. Part 1. Cell density, viability and cell-cycle distribution. Biotechnology and Bioengineering 2004, 88:547-557.
De Battista H., Picó J., Garelli F., Navarro J. Reaction rate reconstruction from biomass concentration measurement in bioreactors using modified second-order sliding mode algorithms. Bioprocess and Biosystems Engineering. 2012, 35:1615-1625.
de Tremblay M., Perrier M., Chavarie C., Archambault J. Optimization of fed-batch culture of hybridoma cells using dynamic programming. Single and multi feed cases. Bioprocess Engineering 1992, 7:229-234.
Deschênes J.-S., Desbiens A., Perrier M., Kamen A. Multivariable nonlinear control of biomass and metabolite concentrations in a high-cell-density perfusion bioreactor. Industrial & Engineering Chemistry Research 2006, 45:8985-8997.
Deschênes J.-S., Desbiens A., Perrier M., Kamen A. Use of cell bleed in a high cell density perfusion culture and multivariable control of biomass and metabolite concentrations. Asia-Pacific Journal of Chemical Engineering 2006, 1:82-91.
Dewasme L., Coutinho D., Vande Wouwer A. Adaptive and robust linearizing control strategies for fed-batch cultures of microorganisms exhibiting overflow metabolism. Informatics in control, automation and robotics. Lecture notes in electrical engineering 2011, Vol. 89:283-305. Springer-Verlag, Berlin, Heidelberg.
Dowd J., Kwok K., Piret J. Glucose-based optimization of CHO-cell perfusion cultures. Biotechnology and Bioengineering 2001, 75:252-256.
Dowd J., Kwok K., Piret J. Predictive modeling and loose-loop control for perfusion bioreactors. Biochemical Engineering Journal 2001, 9:1-9.
Farza M., Nadri M., Hammouri H. Nonlinear observation of specific growth rate in aerobic fermentation. Bioprocess and Biosystems Engineering 2000, 23(4):359-366.
Friedman L., Moreno J., Iriarte R. Sliding modes after the first decade of the 21st century 2011, Springer-Verlag, Berlin, Heidelberg.
Gnoth S., Jenzsch M., Simutis R., Lübbert A. Control of cultivation processes for recombinant protein production. A review. Bioprocess and Biosystems Engineering 2008, 31:21-39.
Henson M., Seborg D. Nonlinear process control 1997, Prentice Hall, NJ, Upper Saddle River.
Henson M.A. Biochemical reactor modeling and control. IEEE Control Systems Magazine 2006, 26(4):54-62.
Jain E., Kumar A. Upstream processes in antibody production. Evaluation of critical parameters. Biotechnology Advances 2008, 26:46-72.
Jang J., Barford J. An unstructured kinetic model of macromolecular metabolism in batch and fed-batch cultures of hybridoma cells producing monoclonal antibody. Biochemical Engineering Journal 2000, 4:153-168.
Jazwinski A. Stochastic processes and filtering theory 1970, Academic Press, New York.
Komolpis K., Udomchokmongkol C., Phutong S., Palaga T. Comparative production of a monoclonal antibody specific for enrofloxacin in a stirred-tank bioreactor. Journal of Industrial and Engineering Chemistry 2010, 16:567-571.
Leith D.-J., Leithead W.-E. Survey of gain-scheduling analysis and design. International Journal of Control 2000, 73:1001-1025.
Mjalli F.S., Al-Asheh S. Neural-networks-based feedback linearization versus model predictive control of continuous alcoholic fermentation process. Chemical Engineering and Technology 2005, 28(10):1191-1200.
Ozturk S., Thrift J., Blackie J., Naveh D. Real-time monitoring and control of glucose and lactate concentrations in a mammalian cell perfusion reactor. Biotechnology and Bioengineering 1997, 53:372-378.
Sbarciog, M., Coutinho, D., & Vande Wouwer, A. (2013a). An adaptive cascade structure for the estimation and control of perfusion animal cell cultures. In Preprints of the 12th IFAC symposium on computer applications in biotechnology (pp. 284-289), Mumbai, India.
Sbarciog, M., Coutinho, D., & Vande Wouwer, A. (2013b). A cascade MPC-feedback linearizing strategy for the multivariable control of animal cell cultures. In Preprints of the 9th IFAC symposium on nonlinear control systems (pp. 247-252), Toulouse, France.
Sbarciog, M., Coutinho, D., & Vande Wouwer, A. (2013c). Kinetics independent multivariable robust control of animal cell cultures. In Proceedings of ICSTCC (pp. 479-484), Sinaia, Romania.
Sbarciog M., Saraiva I., Vande Wouwer A. Accelerating animal cell growth in perfusion mode by multivariable control: Simulation studies. Bioprocess and Biosystems Engineering 2013, 36:517-530.
Seborg D., Edgar T.F., Mellichamp D.A. Process dynamics and control 1989, John Wiley & Sons, New York.
Smets I.Y., Claes J.E., November E.J., Bastin G.P., Van Impe J.F. Optimal adaptive control of (bio)chemical reactors. Past, present and future. Journal of Process Control 2004, 14:785-805.
Xu Y., Sun J., Mathew G., Jeevarajan A., Anderson M. Continuous glucose monitoring and control in a rotating wall perfused bioreactor. Biotechnology and Bioengineering 2004, 87:473-477.
Zhu G.-Y., Zamamiri A., Henson M.A., Hjortso M.A. Model predictive control of continuous yeast bioreactors using cell population balance models. Chemical Engineering Science 2000, 55:6155-6167.
