Instrumentation, Control and Automation in Wastewater Systems
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Gustaf Olsson | Marinus K. Nielsen | Jean-Philippe Steyer | Zhiguo Yuan | A Lynggaard-Jensen | G. Olsson | J. Steyer | M. Nielsen | Zhiguo Yuan | A. Lynggaard-Jensen
[1] G Olsson,et al. Application of information technology to decision support in treatment plant operation. , 2003, Water science and technology : a journal of the International Association on Water Pollution Research.
[2] Bernard P. A. Grandjean,et al. NEURAL NETWORKS IN PROCESS CONTROL - A SURVEY , 1992 .
[3] Wei-Ling Chiang,et al. Effluent suspended solid control of activated sludge process by fuzzy control approach , 1996 .
[4] Petre Stoica,et al. Decentralized Control , 2018, The Control Systems Handbook.
[5] Magnus Christensson,et al. A comparison between ethanol and methanol as carbon sources for denitrification , 1994 .
[6] A. Vanrolleghem,et al. Sensors for anaerobic digestion: An overview , 1995 .
[7] I. Jolliffe. Principal Component Analysis , 2002 .
[8] Julian Morris,et al. Artificial neural networks in process estimation and control , 1992, Autom..
[9] D Bixio,et al. Feasibility of automatic chemicals dosage control--a full-scale evaluation. , 2002, Water science and technology : a journal of the International Association on Water Pollution Research.
[10] G. K. Anderson,et al. Determination of bicarbonate and total volatile acid concentration in anaerobic digesters using a simple titration , 1992 .
[11] R. Haker,et al. EXPERIENCES WITH ONLINE MEASURING INSTRUMENTS FOR SBR-OPERATION IN KALMAR , 1999 .
[12] Barry M. Wise,et al. The process chemometrics approach to process monitoring and fault detection , 1995 .
[13] N. V. Bhat,et al. Use of neural nets for dynamic modeling and control of chemical process systems , 1990 .
[14] Pernille Ingildsen,et al. Realising full-scale control in wastewater treatment systems using in situ nutrient sensors , 2002 .
[15] P A Vanrolleghem,et al. Status and future trends of ICA in wastewater treatment--a European perspective. , 2002, Water science and technology : a journal of the International Association on Water Pollution Research.
[16] Peter J. Gawthrop,et al. Neural networks for control systems - A survey , 1992, Autom..
[17] Gustaf Olsson,et al. Disturbance detection in wastewater treatment plants , 1998 .
[18] M. K. Nielsen,et al. Advanced computer control based on real and software sensors , 1996 .
[19] G Olsson,et al. A benchmark study of controlled emptying of equalization basins. , 2005, Water science and technology : a journal of the International Association on Water Pollution Research.
[20] D. Archer,et al. On‐line titration method for monitoring buffer capacity and total volatile fatty acid levels in anaerobic digesters , 1989, Biotechnology and bioengineering.
[21] P A Vanrolleghem,et al. On-line monitoring equipment for wastewater treatment processes: state of the art. , 2003, Water science and technology : a journal of the International Association on Water Pollution Research.
[22] Alan Sillitoe,et al. Raw material , 1972 .
[23] B. Anderson,et al. Optimal control: linear quadratic methods , 1990 .
[24] Andrew G. Barto,et al. Connectionist learning for control: an overview , 1990 .
[25] Sara Hallin,et al. METABOLIC PROPERTIES OF DENITRIFYING BACTERIA ADAPTING TO METHANOL AND ETHANOL IN ACTIVATED SLUDGE , 1998 .
[26] Howard Jay Chizeck,et al. Closed Loop Control , 1985 .
[27] D. L. Hawkes,et al. A new instrument for on-line measurement of bicarbonate alkalinity , 1993 .
[28] D. Dochain,et al. On-Line Estimation and Adaptive Control of Bioreactors , 2013 .
[29] A. C. Di Pinto,et al. ANAEROBIC PROCESS CONTROL BY AUTOMATED BICARBONATE MONITORING , 1990 .
[30] Michael Johnson,et al. Control engineering : an introductory course , 2002 .
[31] G. Olsson,et al. Benchmarking plant operation and instrumentation, control and automation in the wastewater industry , 2002 .
[32] Denis Dochain,et al. Adaptive identification and control algorithms for nonlinear bacterial growth systems , 1984, Autom..
[33] André Pauss,et al. Hydrogen monitoring in anaerobic sludge bed reactors at various hydraulic regimes and loading rates , 1993 .
[34] Peter A. Vanrolleghem,et al. Respirometry in Control of the Activated Sludge Process: Principles , 1998 .
[35] Peter A. Vanrolleghem,et al. Control of External Carbon Addition to Predenitrifying Systems , 1997 .
[36] H.A.B. te Braake. Neural Control of Biotechnological Processes , 1997 .
[37] Peter A. Vanrolleghem,et al. Evaluation of a rule-based control strategy for an equalization facility with technical/physical constraints , 1999, 1999 European Control Conference (ECC).
[38] Frédéric Ehlinger,et al. Control Parameter Variations in an Anaerobic Fluidised Bed Reactor Subjected to Organic Shockloads , 1992 .
[39] Nadine Hilgent. Identification et controle de processus autoregressifs non lineaires incertains : application a des procedes biotechnologiques , 1997 .
[40] P Gras,et al. Evaluation of a four year experience with a fully instrumented anaerobic digestion process. , 2002, Water science and technology : a journal of the International Association on Water Pollution Research.
[41] James W. Garson,et al. ‘Here’ and ‘Now’ , 1969 .
[42] Gustaf Olsson. Advancing ICA Technology by Eliminating the Constraints , 1993 .
[43] Ken-ichi Funahashi,et al. On the approximate realization of continuous mappings by neural networks , 1989, Neural Networks.
[44] Alessandro Astolfi,et al. Set-point regulation of an anaerobic digestion process with bounded output feedback , 2003, IEEE Trans. Control. Syst. Technol..
[45] P A Vanrolleghem,et al. Towards a benchmark simulation model for plant-wide control strategy performance evaluation of WWTPs. , 2006, Water science and technology : a journal of the International Association on Water Pollution Research.
[46] Phillip D. Schnelle,et al. Model predictive control of an industrial packed bed reactor using neural networks , 1995 .
[47] Jérôme Harmand,et al. Robust regulation of a class of partially observed nonlinear continuous bioreactors , 2002 .
[48] Alfred E. Brenner,et al. Moore's Law , 1997, Science.
[49] S. Svoronos,et al. Optimization of a Periodic Biological Process for Nitrogen Removal from Wastewater , 1996 .
[50] Gustaf Olsson,et al. Get more out of your wastewater treatment plant - complexity made simple , 2001 .
[51] O Bernard,et al. Advanced monitoring and control of anaerobic wastewater treatment plants: software sensors and controllers for an anaerobic digester. , 2001, Water science and technology : a journal of the International Association on Water Pollution Research.
[52] Niels Kjølstad Poulsen,et al. Grey box modeling of first flush and incoming wastewater at a wastewater treatment plant , 2000 .
[53] Benjamin C. Kuo,et al. Automatic control systems (7th ed.) , 1991 .
[54] Stefano Marsili-Libelli,et al. Adaptive fuzzy pattern recognition in the anaerobic digestion process , 1996, Pattern Recognit. Lett..
[55] Theodora Kourti,et al. Statistical Process Control of Multivariate Processes , 1994 .
[56] Paolo Pavan,et al. Fuzzy Control of an Anaerobic Digester for the Treatment of the Organic Fraction of Municipal Solid Waste (MSW) , 1993 .
[57] Mogens Henze,et al. Activated sludge models ASM1, ASM2, ASM2d and ASM3 , 2015 .
[58] J Harmand,et al. Software sensors for highly uncertain WWTPs: a new approach based on interval observers. , 2002, Water research.
[59] Mogens Henze,et al. Controlled Carbon Source Addition to an Alternating Nitrification-Denitrification Wastewater Treatment Process Including Biological P Removal , 1995 .
[60] M. B. Beck,et al. Fuzzy control of the activated sludge wastewater treatment process , 1980, Autom..
[61] Kumpati S. Narendra,et al. Identification and control of dynamical systems using neural networks , 1990, IEEE Trans. Neural Networks.
[62] Kurt Hornik,et al. Multilayer feedforward networks are universal approximators , 1989, Neural Networks.
[63] John Odenckantz,et al. Nonparametric Statistics for Stochastic Processes: Estimation and Prediction , 2000, Technometrics.
[64] Damien J. Batstone. High Rate Anaerobic Treatment of Complex Wastewater , 2000 .
[65] W. Gujer,et al. Activated sludge model No. 3 , 1995 .
[66] H.J.L. van Can. Efficient Mathematical Modeling for Bioprocesses - based on macroscopic balances and neural networks , 1997 .
[67] D. T. Hill,et al. A dynamic model for simulation of animal waste digestion , 1977 .
[68] Oliver J. Hao,et al. Alternating aerobic-anoxic process for nitrogen removal : process evaluation , 1996 .
[69] A. J. Morris,et al. Artificial neural networks in process engineering , 1991 .
[70] D. Dochain,et al. Adaptive control of anaerobic digestion processes—a pilot‐scale application , 1988, Biotechnology and bioengineering.
[71] Yonghong Tan,et al. Nonlinear one-step-ahead control using neural networks: Control strategy and stability design , 1996, Autom..
[72] Gustaf Olsson,et al. Integration of WWT Plant Design and Operation - a Systematic Approach Using Cost Functions , 1996 .
[73] C. Rosen,et al. Adaptive multiscale principal components analysis for online monitoring of wastewater treatment. , 2002, Water science and technology : a journal of the International Association on Water Pollution Research.
[74] Klaus L. Andersen,et al. Nutrient Removal: On-Line Measurements and Control Strategies , 1993 .
[75] K. Buchauer,et al. A comparison of two simple titration procedures to determine volatile fatty acids in influents to waste-water and sludge treatment processes , 1998 .
[76] Willy Verstraete,et al. Sludge Blanket Height Control in Secondary Clarifiers , 2001 .
[77] A. D. Wheatley,et al. An application of an adaptive control algorithm for the anaerobic treatment of industrial effluent , 1995 .
[78] Masaru Ishida,et al. Neural model‐predictive control of distributed parameter crystal growth process , 1995 .
[79] M. Florentz,et al. Oxidation-Reduction Potential (ORP) Regulation: A Way to Optimize Pollution Removal and Energy Savings in the Low Load Activated Sludge Process , 1987 .
[80] D Cecil,et al. Controlling nitrogen removal using redox and ammonium sensors. , 2003, Water science and technology : a journal of the International Association on Water Pollution Research.