Anderson, J.S. et al. (2000). Control of an alternating aerobic-anoxic activated sludge system. Part 1. Control Engineering Practice; Vol. 8, pp. 271-278;
Barbu, M. (2007). Contribuţii privind conducerea automatǎ a proceselor biotehnologice. PhD. Thesis, Dunǎrea de Jos University of Galaţi;
Boger, Z. (1992). Application of Neural Networks to Water and Wastewater Treatment Plant Operation. ISA Trans., Vol. 31, pp. 25-33;
Camacho, E.F. and Bordons, C. (1999). Model Predictive Control. Springer-Verlag London Limited.
Caraman, S. et al. (2005). Robust multimodel control using QFT techniques of a wastewater treatment process. Control Engineering and Applied Informatics, Vol. 7(2), pp. 10-17;
Caraman, S. et al. (2007). Predictive Control of a Wastewater Treatment Process. International Journal of Computers, Communications & Control, Vol. 2 (2), pp. 132-142;
Chotkowski, W. et al. (2005). Dissolved oxygen control for activated sludge processes. International Journal of Systems Science, Vol. 36(12), pp. 727-736;
Cosmescu, A. and Dumitrache, I. (2003). Multivariable Fuzzy Controller For The Activated Sludge Process. Control Engineering and Applied Informatics, Vol. 5(3,4);
Du, Y.G. et al. (1999). Use of fuzzy neural-net model for rule generation of activated sludge process. Process Biochemistry, Vol. 35(1), pp. 77-83(7);
Fikar, M. et al. (2005). Optimal operation of alternating activated sludge processes. Control Engineering Practice, Vol. 13, pp. 853-861;
Fuerhacker, M. et al. (2000). Approach for a novel control strategy for simultaneous nitrification/denitrification in activated sludge reactors. Water Research, Vol. 34(9), pp. 2499-2506;
Han, Y. et al. (2008). Nonlinear PI control for dissolved oxygen tracking at wastewater treatment plant. Proceedings of the 17th World Congress The International Federation of Automatic Control, Seoul, Korea;
Heduit, A. et al. (1990). Optimization of nitrogen removal in small activated sludge plants. Water Science and Technology, Vol. 22(3-4), pp. 123-130;
Holenda, B. et al. (2007). Aeration optimization of a wastewater treatment plant using genetic algorithm. Optimal control applications and methods, Vol. 28, pp. 191-208;
Holenda, B. et al. (2008). Dissolved oxygen control of the activated sludge wastewater treatment process using model predictive control. Computers and Chemical Engineering, Vol. 32, pp. 1270-1278;
King, R.E. and Stathaki, A. (2004). A multi-layer perceptron for the control of a wastewater treatment plant. 12th Mediterranean Conference on Control and Automation -MED2004, Kusadasi, Turkey;
Lindberg, C.F. and Carlsson, B. (1996). Nonlinear and setpoint control of the dissolved oxygen concentration in an activated sludge process. Water Science and Technology, Vol. 34(3/4), pp. 135-142;
Nejjari, F. et al. (1999). Non-linear multivariable adaptive control of an activated sludge wastewater treatment process. International Journal of Adaptive Control and Signal Processing, Vol. 13, pp. 347-365;
O'Brien, M. et al. (2011). Model predictive control of an activated sludge process: A case study. Control Engineering Practice, Vol. 19, pp 54-61;
Piotrowski, R. et al. (2008). Hierarchical dissolved oxygen control for activated sludge processes. Control Engineering Practice, pp. 114-131;
Rojas, J.D. et al. (2011). Control of an Activated Sludge Process using the Virtual Reference Approach. Proceedings of the International Multiconference of Engineers and Computer Scientists, Vol. 2, IMESC 2011, March 16-18, Hong Kong;
Sanches, A. and Katebi, M.R. (2003). Predictive control of dissolved oxygen in an activated sludge wastewater treatment plant. Proceedings of the European Control Conference, Cambridge, U.K.;
Shen, W. et al, (2009). Model predictive control for wastewater treatment process with feed forward compensation. Chemical Engineering Journal, pp. 161- 174;
Vilanova, R. et al. (2009). Multi-loop PI-based control strategies for the Activated Sludge Process. IEEE International Conference on Emerging Technologies and Factory Automation.
Zhao, H. et al. (1995). An analysis of nitrogen removal and control strategies in an alternating activated sludge process. Water Research, Vol. 29(2), pp. 535-544.
Zheng, T. (ed.) (2010). Model Predictive Control. Sciyo, Rijeka.