SciELO - Scientific Electronic Library Online

SciELO - Scientific Electronic Library Online

Article References

DU PLESSIS, S  and  TZONEVA, R. Sensitivity study of reduced models of the activated sludge process, for the purposes of parameter estimation and process optimisation: benchmark process with ASM1 and UCT reduced biological models. Water SA [online]. 2012, vol.38, n.2, pp.287-306. ISSN 1816-7950.

    AL-SAGGAF UM and FRANKLIN GF (1988) Model reduction via balanced realizations: an extension and frequency weighting techniques. IEEE Trans. Autom. Control AC-33 (7) 687-692. [ Links ]

    BECK C, DOYLE J AND GLOVER K (1996) Model reduction of multi-dimensional and uncertain systems. IEEE Trans. Autom. Control 41 (10) 1466-1477. [ Links ]

    BREYFOGLE FW III (2003) Implementing Six Sigma: Smart Solution using Statistical Methods (2nd edn.). John Wiley and Sons, New York. [ Links ]

    COPP J (2002) COST Action 624 - The Cost Simulation Benchmark: Description and Simulation Manual. Office for Official Publications of the European Union, Luxembourg. [ Links ]

    DE PAUW D and VANROLLEGHEM P (2003) Practical aspects of sensitivity analysis for dynamic models. URL: (Accessed 12 June 2009). [ Links ]

    DOCHAIN D (2003) State and parameter estimation in the chemical and biochemical processes: a tutorial. J. Process Control 13 801-818. [ Links ]

    DOLD P, EKAMA G and MARAIS G (1980) A general model for the activated sludge process. Prog. Water Technol. 12 47-77. [ Links ]

    DU PLESSIS SC (2009) The investigation of the process parameters and developing a mathematical model for purposes of control design and implementation of the wastewater treatment process. D.Tech. thesis, Cape Peninsula University of Technology, Cape Town. [ Links ]

    EKAMA G, MARAIS G, PITMAN A, KEAY, G, BUCHAN L, GERBER A and SMOLLEN M (1984) Theory, Design and Operation of Nutrient Removal Activated Sludge Process. WRC Report No. TT 16/84. Water Research Commission, Pretoria. [ Links ]

    EKAMA G and MARAIS G (1979) Dynamic behaviour of the activated sludge process. J. Water Pollut. Control Fed. 51 534-556. [ Links ]

    FESSO A (2007) Statistical sensitivity analysis and water quality. In: Wymer I (ed.) Statistical Framework for Water Quality Criteria and Monitoring. Wiley, New York. [ Links ]

    FRANK P (1978) Introduction to System Sensitivity Theory. Academic Press, London. [ Links ]

    GLOVER K (1984) All optimal Hankel-norm approximations of linear multivariable systems and their L error bounds. Int. J. Control 39 (6) 1115-1193. [ Links ]

    HALEVI Y, ZLOCHEVSKY A and GILAT T (1997) Parameter-dependent model order reduction. Int. J. Control 66 (3) 463-485. [ Links ]

    HENZE M, GRADY J, GUJER W, MARAIS G and MATSUO T (1987) Activated sludge model No. 1.1AWPRC Scientific and Technical Report No. 1, IAWPRC task group on mathematical modeling for design and operation of biological wastewater treat-ment, London. [ Links ]

    HOLMBERG A and RANTA J (1982) Procedures for parameter and state estimation of microbial growth process models. Automatica 18 181-193. [ Links ]

    JEPPSSON U (1996) Modeling Aspects of Wastewater Treatment Processes. Thesis, Lund University, Lund, Sweden. [ Links ]

    LATHAM A and ANDERSON BDO (1985) Frequency-weighted optimal Hankel-norm approximation of stable transfer functions. Syst. Control Lett. 5 229-236. [ Links ]

    LENNOX B, MONTAGUE GA, HIDEN HG, KORNFELD G and GOULDING PR (2001) Process monitoring of industrial fed-batch fermentation. Biotechnol. Bioeng. 74 (2) 125-135. [ Links ]

    LOURIES A, ZCELY, CSIKOSZ-NAGY, TURANYI T and NOVAK B (2008) Analysis of a budding yeast cell cycle model using the shapes of local sensitivity functions. Int. J. of Chem. Kinet. 40 (11) 710-720. [ Links ]

    MONTGOMERY DC (1997) The Use of Statistical Process Control and Design of Experiments in Product and Process Improvement. IIE Trans. 24 479. [ Links ]

    MOORE BC (1981) Principal component analysis in linear system: Controllability, observability and model reduction. IEEE Trans. Autom. Control AC-26 17-32. [ Links ]

    MUSSATI M, GERNAEY K, GANI R and J0RGENSEN S (2002) Computer aided model analysis and dynamic simulation of a waste-water treatment plant. Clean Technol. Environ Polic. 4 100-114. [ Links ]

    NOYKOVA N and GYLLENBERG M (2000) Sensitivity analysis and parameter estimation in a model of anaerobic waste water treatment processes with substrate inhibition. Bioprocess Eng. 23 343-349. [ Links ]

    PERTEV C, TURKER M and BERBER R (1997) Dynamic modeling, sensitivity analysis and parameter estimation of industrial yeast fermenters. Comp. Chem. Eng. 21 739-744. [ Links ]

    PLAZL I, PIPUS G, DROLKA M, and KOLOINI T (1999) Parametric sensitivity and evaluation of a dynamic model for Single-stage wastewater treatment plant. Acta Chim. Slov. 46 (2) 289-300. [ Links ]

    SAFANOV MG and CHIANG RY (1989) A Schur method for balanced-truncation method reduction. IEEEAutom. Control AC-34 729-733. [ Links ]

    SATO J and OHMORI H (2002) Sensitivity analysis and parameter identification of wastewater treatment based on Activated Sludge Model No. 1 (ASM 1). Proceedings of SICE 2002, 5-7 August 2002, Osaka. 434-439. [ Links ]

    SCHERMANN PS and GARAG-GABIN W (2005) Process Gain, Time Lags and Reaction Curves. In: Liptak BG (ed.) Instrument Engineer's Handbook: Process Control and Optimization. Pergamon Press, New York. [ Links ]

    SMETS I, BERNAERTS K, SUN J, MARCHAL K, VANDER-LEYDEN J and VAN IMPE J (2002) Sensitivity function-based model reduction. A bacterial gene expression case study. Biotech. Bioeng. 80 195-200. [ Links ]

    STECHA J, CEPAK M, PEKAR J and PACHNER D (2005) System Parameter estimation using p-norm minimization. Preprints from Proceedings of the 16th IFAC World Congress, 4-8 July 2005, Prague, Czech Republic. [ Links ]

    TSONEVA R, POPCHEV I and PATARINSKA T (1996) Minimum time sensitive control of nonlinear time delay systems with slowly varying parameters. Proc. 13th IFAC World Congress, 1 April 1997, San Francisco. E 371-376. [ Links ]

    VARMA A, MORBIDELLI M and WU H (1999) Parametric Sensitivity in Chemical Systems. Cambridge University Press, Cambridge. [ Links ]

    WANG L and GAWTHROP PJ (2001) On the estimation of continuous time transfer functions. Int. J. Control 74 889-904. [ Links ]

    WENTZEL M, EKAMA G and MARAIS G (1992) Processes and modelling of nitrification, denitrification and biological excess phosphorus removal systems. Water Sci. Technol. 25 (6) 59-82. [ Links ]

    WISNEWSKI PA and DOYLE III FJ (1996) A reduced model approach to estimation and control of a Kamyr digester. Comput. Chem. Eng. 20 1053-1058. [ Links ]