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W. Gujer, “Activated Sludge Modelling: Past, Present and Future”, Water Science and Technology, Vol. 53, 2006, pp.111-119.10.2166/wst.2006.082Search in Google Scholar
M.Henze, W.Gujer, T.Mino, T.Matsuo, M.C.Wentzel , G.V.R.Marais and M.C.M. Loosdrecht , “Activated Sludge Model No.2D, ASM2D”,Water Science and Technology, Vol. 39, 1999, pp.165–182.10.2166/wst.1999.0036Search in Google Scholar
K.V.Gernaey, M.C.M.Loosderecht, M.Henze, M.Lind and B.Jorgensen, “Activated Sludge Wastewater Treatment Plant Modelling and Simulation: State of the Art”, Environmental Modelling Software, Vol. 19,2004, pp. 763-783.10.1016/j.envsoft.2003.03.005Search in Google Scholar
A.Nuhoglu, B.Keskinler and E.Yildiz, “Mathematical Modelling of the Activated Sludge Process—the Erzincan Case”, Process Biochemistry, Vol. 40, 2005, pp. 2467-2473.10.1016/j.procbio.2004.09.011Search in Google Scholar
I.Y.Smets, J.V.Haegebaert, R.Carrette and J.F.V.Impe, “Linearization of the Activated Sludge Model ASM1 for Fast and Reliable Predictions”, Water Research, Vol. 37, 2003, pp. 1831-1851.10.1016/S0043-1354(02)00580-8Search in Google Scholar
U.Jeppson and G.Olsson, “Reduced Order Models for On-line Parameter Identification of the Activated Sludge Process”, Water Science and Technology, Vol. 28, 1993, pp. 173-183.10.2166/wst.1993.0657Search in Google Scholar
N.Abdulwahab, M.R.Katebi and J.Balderud, “Multivariable PID Tuning of Activated Sludge Process with Nitrification and Denitrification. Biochemical Engineering Journal, Vol. 42, 2009, pp. 239-248.10.1016/j.bej.2009.04.016Search in Google Scholar
B.Boulkroune, M.Darouch, M.Zasadzanski, S.Gille and D.Fiorelli, “A Non-linear Observer Design for an Activated Sludge Wastewater Treatment Process”, Journal of Process Control, Vol. 19, 2009, pp. 1558-1565.10.1016/j.jprocont.2009.07.017Search in Google Scholar
A.Benhalla, M.Houssou and M.Charif, “A Linearization of Full Activated Sludge Model no.1 for Interaction Analysis”, Bioprocess Biosystem Engineering, Vol. 33, 2010, pp. 759-771.10.1007/s00449-009-0404-z20131068Search in Google Scholar
I.Smets, L.Verdict and J.V Impe, “A Linear ASM1 Based Multi-Model for Activated Sludge Systems”, Mathematical and Computer Modelling of Dynamical Systems, Vol. 12, 2006, pp. 489-503.10.1080/13873950600723467Search in Google Scholar
J.Derco, M.Kralik, P.Gubova and I.Bodik, “Dynamic Modelling of Activated Sludge Process II. Linearized Kinetic Model”, Chemical Papers, Vol. 44, 1990, pp. 659-668.Search in Google Scholar
M.Kralik, J.Derco, J.Farkas and P.Gubova, “Dynamic Modelling of Activated Sludge Process III. Statistical Model”, Chemical Papers, Vol. 44, 1991, pp. 313-320.Search in Google Scholar
A.Nagy, G.Mourot, B.Marx, G.Schutz and J.Ragot, Systematic Multi-modelling Methodology Applied to an Activated Sludge Reactor Model. Industrial and Engineering Chemistry Research, Vol. 49, 2010, pp. 2790-2799.10.1021/ie8017687Search in Google Scholar
T. Y. Pai, P. Y. Yang, S. C. Wang, M. H. Lo, C. F. Chiang, J. L. Kuo, H. H. Chu, H. C. Su, L. F. Yu, H. C. Hu, Y. H. Chang, “Predicting Effluent from the Wastewater Treatment Plant of Industrial Park based on Fuzzy Network and Influent Quality”, Applied Mathematical Modelling, Vol. 35, 2011, pp. 3674-3684.10.1016/j.apm.2011.01.019Search in Google Scholar
A.Perendeci, S.Arslan, S.S.Celebi and A.Tanyolac, “ Prediction of Effluent Quality of an Anaerobic Treatment Plant under Unsteady state through ANFIS Modeling with On-line Input Variables”, Chemical Engineering Journal, Vol. 45, 2008, pp. 78-85.10.1016/j.cej.2008.03.008Search in Google Scholar
M.Huang, Y.Ma, J.Wan, H.Zhang and Y.Wang, “Modelling a Paper Making Wsatewater Treatment Process by means of an Adaptive Network –based Fuzzy Inference System and Pricipal Component Analysis”, Industrial and Engineering Chemistry Research, Vol. 51, 2012, pp. 6166-6174.10.1021/ie203049rSearch in Google Scholar
O. Nelles, Nonlinear System Identification: From Classical Approach to Neural network and Fuzzy models, Springer, Germany, 2001, p.461-466.10.1007/978-3-662-04323-3_17Search in Google Scholar
G. Olsson, B. Newell, “Wastewater Treatment Systems, Modelling, Diagnosis and Control”, IWA Publishing, UK, 2010, p.655-658.Search in Google Scholar
F.Nejjari, B.Dahhou, A.Benhammou and G.Roux, “Non-linear Multivariable Adaptive Control of an Activated Sludge Treatment Process”, International Journal of Adaptive Control and Signal Processing, Vol. 13, 1999, pp. 347-365.10.1002/(SICI)1099-1115(199908)13:5<347::AID-ACS543>3.0.CO;2-8Search in Google Scholar
M. V. Sperling, Basic principles of wastewater treatment, IWA Publishing, London, UK, 2007, p.Search in Google Scholar
J. Jang, “ANFIS: adaptive-network-based fuzzy inference system”, IEEE Transactions on Systems, Man and Cybernetics, vol.23, No.3 , 1993, pp. 665–685.10.1109/21.256541Search in Google Scholar
J. Jang, C. Sun, E. Mizutani, Neuro-Fuzzy and Soft Computing, Prentice Hall, New Jersey,1997, p. 335-340.Search in Google Scholar