ICA and me--a subjective review.
暂无分享,去创建一个
[1] Gustaf Olsson,et al. Computer control of a medium sized activated sludge plant , 1977 .
[2] John F. Andrews,et al. Dynamic Model of the Anaerobic Digestion Process , 1969 .
[3] Troy D. Vassos,et al. Future Directions in Instrumentation, Control and Automation in the Water and Wastewater Industry , 1993 .
[4] Jérôme Harmand,et al. Comparison of advanced control strategies for improving the monitoring of activated sludge processes , 2004 .
[5] Joseph F. Roesler. Plant Performance Using Dissolved Oxygen Control , 1974 .
[6] M. Goto,et al. ON-LINE ESTIMATION OF OXYGEN UPTAKE RATE IN THE ACTIVATED SLUDGE PROCESS , 1985 .
[7] I. Nopens,et al. Simulation of the secondary settling process with reliable numerical methods , 2011 .
[8] P A Vanrolleghem,et al. Robustness and economic measures as control benchmark performance criteria. , 2002, Water science and technology : a journal of the International Association on Water Pollution Research.
[9] 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.
[10] Gustaf Olsson,et al. Instrumentation, control and automation - hidden technologies in wastewater treatment , 2004 .
[11] Zhiguo Yuan,et al. Sludge population optimisation: a new dimension for the control of biological wastewater treatment systems. , 2002, Water research.
[12] C Rosen,et al. Introducing biological phosphorus removal in an alternating plant by means of control: a full scale study. , 2006, Water science and technology : a journal of the International Association on Water Pollution Research.
[13] G. Olsson,et al. On-line diagnosis of DO-probe condition in the activated sludge process. , 1992 .
[14] Gustaf Olsson,et al. ANALYTICAL AND NUMERICAL DESCRIPTION OF THE SETTLING PROCESS IN THE ACTIVATED SLUDGE OPERATION , 1990 .
[15] C. Rosen,et al. On-line estimation of nitrification and denitrification capacity at Avedøre wastewater treatment plant , 2004 .
[16] Benedek Gy Plósz,et al. One-dimensional modelling of the secondary clarifier-factors affecting simulation in the clarification zone and the assessment of the thickening flow dependence. , 2007, Water research.
[17] P. Brouzes,et al. AUTOMATED ACTIVATED SLUDGE PLANTS WITH RESPIRATORY METABOLISM CONTROL , 1969 .
[18] Virginia McConnell,et al. Local choice and wastewater treatment plant performance , 1993 .
[19] John F. Andrews,et al. CONTROL STRATEGIES FOR THE ACTIVATED-SLUDGE PROCESS , 1974 .
[20] R. Briggs,et al. A continuous recorder for dissolved oxygen in water , 1954 .
[21] Ulf Jeppsson,et al. Implementing ADM1 for benchmark simulations in Matlab/Simulink , 2005 .
[22] P. Vanrolleghem,et al. Online Phase Length Optimization for a Sequencing Batch Reactor by Means of the Hotelling’s T2 Statistic , 2010 .
[23] J P Steyer,et al. Modular expert system for the diagnosis of operating conditions of industrial anaerobic digestion plants. , 2005, Water science and technology : a journal of the International Association on Water Pollution Research.
[24] J. B. Copp,et al. Benchmark Simulation Model No 2: finalisation of plant layout and default control strategy. , 2010, Water science and technology : a journal of the International Association on Water Pollution Research.
[25] 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.
[26] Ulf Jeppsson,et al. Benchmarking of Control Strategies for Wastewater Treatment Plants , 2014 .
[27] G Olsson,et al. Plant-wide control: dream, necessity or reality? , 2006, Water science and technology : a journal of the International Association on Water Pollution Research.
[28] Gustaf Olsson. Smart water and power grids - drivers, opportunities and challenges , 2011 .
[29] Kenji Baba,et al. Integration of Multi AI Paradigms for Intelligent Operation Support Systems – Fuzzy Rule Extraction from a Neural Network , 1993 .
[30] N. Oshima,et al. Distribution reservoir control with demand prediction using deterministic-chaos method , 1998 .
[31] J. Audic,et al. Upgrading of wastewater treatment plants for nitrogen removal: Industrial application of an automated aeration management based on ORP evolution analysis , 1998 .
[32] Stefan Diehl,et al. Operating charts for continuous sedimentation I: Control of steady states , 2001 .
[33] P. Ginestet,et al. Transfer of organic matter between wastewater and activated sludge flocs. , 2001, Water research.
[34] Dalius Misiunas,et al. Failure Monitoring and Asset Condition Assessment in Water Supply Systems , 2005 .
[35] Gustaf Olsson,et al. Why many control systems fail , 2011 .
[36] Ramon Pérez Magrané,et al. Leakage location in water distribution networks based on correlation measurement of pressure sensors , 2011 .
[37] B. Carlsson. On-Line Estimation of the Respiration Rate in an Activated Sludge Process , 1993 .
[38] Z. Vitasovic,et al. AN INTEGRATED CONTROL STRATEGY FOR THE ACTIVATED SLUDGE PROCESS , 1986 .
[39] Karl Johan Åström,et al. BOOK REVIEW SYSTEM IDENTIFICATION , 1994, Econometric Theory.
[40] S Winkler,et al. Progress in sensor technology--progress in process control? Part 1: sensor property investigation and classification. , 2003, Water science and technology : a journal of the International Association on Water Pollution Research.
[41] George Stephanopoulos,et al. Perspectives on the synthesis of plant-wide control structures , 2000 .
[42] Cristian Picioreanu,et al. Effect of dynamic process conditions on nitrogen oxides emission from a nitrifying culture. , 2008, Environmental science & technology.
[43] N Hvala,et al. Comparison of control strategies for nitrogen removal in an activated sludge process in terms of operating costs: a simulation study. , 2007, Water research.
[44] Peter A. Vanrolleghem,et al. An evaluation of the efficiency of the combined sewer - Wastewater treatment system under transient conditions , 1995 .
[45] Gustaf Olsson,et al. Industrial automation : applications, structures and systems , 2005 .
[46] Pernille Ingildsen,et al. Realising full-scale control in wastewater treatment systems using in situ nutrient sensors , 2002 .
[47] P A Vanrolleghem,et al. Benchmark simulation model no 2: general protocol and exploratory case studies. , 2007, Water science and technology : a journal of the International Association on Water Pollution Research.
[48] M. B. Beck. Dynamic modelling and control applications in water quality maintenance , 1976 .
[49] P A Vanrolleghem,et al. Deterministic modelling of integrated urban drainage systems. , 2002, Water science and technology : a journal of the International Association on Water Pollution Research.
[50] Peter A. Vanrolleghem,et al. Towards a simulation-benchmark for evaluating respirometry-based control strategies , 1997 .
[51] W. Verstraete,et al. An On-Line Respirographic Biosensor for the Characterization of Load and Toxicity of Wastewaters , 1994 .
[52] Jean-Philippe Steyer,et al. Advanced control of anaerobic digestion processes through disturbances monitoring , 1999 .
[53] H Bogaert,et al. On-line estimation of the maximum specific growth rate of nitrifiers in activated sludge systems. , 1999, Biotechnology and bioengineering.
[54] U Jeppsson,et al. WWTP dynamic disturbance modelling--an essential module for long-term benchmarking development. , 2006, Water science and technology : a journal of the International Association on Water Pollution Research.
[55] Peter A. Vanrolleghem,et al. Modelling and real-time control of the integrated urban wastewater system , 2005, Environ. Model. Softw..
[56] L Benedetti,et al. Wastewater treatment modelling: dealing with uncertainties. , 2009, Water science and technology : a journal of the International Association on Water Pollution Research.
[57] E Roca,et al. An integrated system to remote monitor and control anaerobic wastewater treatment plants through the internet. , 2005, Water science and technology : a journal of the International Association on Water Pollution Research.
[58] Ulf Jeppsson,et al. Dynamic evaluation of integrated control strategies for enhanced nitrogen removal in activated sludge processes , 2006 .
[59] 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.
[60] B. Jefferson,et al. Coagulation of NOM: linking character to treatment. , 2006, Water science and technology : a journal of the International Association on Water Pollution Research.
[61] K. M. van Schagen,et al. Modeling of full-scale drinking water treatment plants with embedded plant control , 2009 .
[62] Gustaf Olsson,et al. Simultaneous DO Control and Respiration Estimation , 1989 .
[63] G Olsson,et al. Failure monitoring in water distribution networks. , 2006, Water science and technology : a journal of the International Association on Water Pollution Research.
[64] K. Keesman,et al. Dynamic modeling of sludge compaction and consolidation processes in wastewater secondary settling tanks. , 2009, Water environment research : a research publication of the Water Environment Federation.
[65] L. Corominas,et al. Including greenhouse gas emissions during benchmarking of wastewater treatment plant control strategies. , 2011, Water research.
[66] J. Londong. Strategies for Optimized Nitrate Reduction with Primary Denitrification , 1992 .
[67] Gustaf Olsson,et al. Reviewing, assessing and speculating , 1998 .
[68] Kris Villez,et al. Performance evaluation of fault detection methods for wastewater treatment processes , 2011, Biotechnology and bioengineering.
[69] G. Olsson,et al. A hedging point strategy--balancing effluent quality, economy and robustness in the control of wastewater treatment plants. , 2002, Water science and technology : a journal of the International Association on Water Pollution Research.
[70] Bengt Carlsson,et al. Nonlinear and set-point control of the dissolved oxygen concentration in an activated sludge process , 1996 .
[71] A Vande Wouwer,et al. Modeling and numerical simulation of secondary settlers: a method of lines strategy. , 2009, Water research.
[72] Nedeljko Štefanić,et al. Information Technology in Water and Wastewater Utilities , 2010 .
[73] Gustaf Olsson. Advancing ICA Technology by Eliminating the Constraints , 1993 .
[74] Wolfgang Schilling. Real-time control of urban drainage systems : the state-of-the-art , 1989 .
[75] R. Briggs,et al. INSTRUMENTATION AND CONTROL IN SEWAGE TREATMENT , 1974 .
[76] Peter A. Vanrolleghem,et al. RESPIROMETRY AS TOOL FOR RAPID CHARACTERIZATION OF WASTEWATER AND ACTIVATED SLUDGE , 1995 .
[77] G Olsson. Lessons learnt at ICA2001. IWA Conference on Instrumentation, Control and Automation. , 2002, Water science and technology : a journal of the International Association on Water Pollution Research.
[78] G H Dibdin,et al. Mathematical Modeling of Biofilms , 1997, Advances in dental research.
[79] Ingmar Nopens,et al. Shall we upgrade one-dimensional secondary settler models in WWTP simulators? , 2010 .
[80] G. Olsson,et al. Extremum-seeking with variable gain control for intensifying biogas production in anaerobic fermentation. , 2006, Water science and technology : a journal of the International Association on Water Pollution Research.
[81] Sergei Silvestrov,et al. Analysis for Science, Engineering and Beyond : The Tribute Workshop in Honour of Gunnar Sparr held in Lund, May 8-9, 2008 , 2012 .
[82] I. Takács. A dynamic model of the clarification-thickening process , 1991 .
[83] Gustaf Olsson,et al. Determining short-term biochemical oxygen demand and respiration rate in an aeration tank by using respirometry and estimation , 1994 .
[84] Gustaf Olsson,et al. Respirometry in Control of Activated Sludge Processes , 1996 .
[85] W. Gujer,et al. Activated sludge model No. 3 , 1995 .
[86] D Cecil. A software nitrate sensor based on ammonium and redox signals. , 2003, Water science and technology : a journal of the International Association on Water Pollution Research.
[87] Poul Harremoës,et al. The importance of the treatment plant performance during rain to acute water pollution , 1996 .
[88] Lennart Ljung,et al. System Identification: Theory for the User , 1987 .
[89] D Lumley,et al. On-line instrument confirmation: how can we check that our instruments are working? , 2002, Water science and technology : a journal of the International Association on Water Pollution Research.
[90] Gustaf Olsson,et al. Water and Energy Nexus , 2019, Encyclopedia of Sustainability Science and Technology.
[91] Wen-Chih Wu,et al. Intelligent Operation Support System for Activated Sludge Process , 1993 .
[92] Zhiguo Yuan,et al. Sludge population optimisation in biological nutrient removal wastewater treatment systems through on-line process control: a re/view , 2008 .
[93] S. Diehl. Shock-Wave Behaviour of Sedimentation in Wastewater Treatment: A Rich Problem , 2012 .
[94] Willi Gujer,et al. Is modeling of biological wastewater treatment a mature technology? , 2011, Water science and technology : a journal of the International Association on Water Pollution Research.
[95] Ken J. Hall,et al. Real-Time Control of Wastewater Treatment Systems Using ORP , 1993 .
[96] Gustaf Olsson,et al. Instrumentation, Control and Automation in Wastewater Systems , 2015 .
[97] Robert Babuska,et al. Control-design methodology for drinking-water treatment processes , 2010 .
[98] Gustaf Olsson. Measurement and Control in Chemical and Environmental Engineering , 1974 .
[99] J. Babary,et al. Theoretical and practical identifiability of a reduced order model in an activated sludge process doing nitrification and denitrification , 1998 .
[100] P. Vanrolleghem,et al. Enrichment of Anammox biomass from municipal activated sludge: experimental and modelling results , 2004 .
[101] Mogens Henze,et al. Activated sludge models ASM1, ASM2, ASM2d and ASM3 , 2015 .
[102] Gustaf Olsson,et al. Integration of wastewater treatment plant design and operation - A systematic approach using cost functions , 1996 .
[103] A. Lynggaard-Jensen,et al. Increased performance of secondary clarifiers using dynamic distribution of minimum return sludge rates. , 2009, Water science and technology : a journal of the International Association on Water Pollution Research.
[104] Ingmar Nopens,et al. BSM-MBR: a benchmark simulation model to compare control and operational strategies for membrane bioreactors. , 2011, Water research.
[105] J Colprim,et al. A hybrid supervisory system to support WWTP operation: implementation and validation. , 2002, Water science and technology : a journal of the International Association on Water Pollution Research.
[106] Gustaf Olsson,et al. Disturbance detection in wastewater treatment plants , 1998 .
[107] P. Vanrolleghem,et al. Towards a benchmarking tool for minimizing wastewater utility greenhouse gas footprints. , 2012, Water science and technology : a journal of the International Association on Water Pollution Research.
[108] R. Lemaire,et al. Achieving the nitrite pathway using aeration phase length control and step‐feed in an SBR removing nutrients from abattoir wastewater , 2008, Biotechnology and bioengineering.
[109] M. J. Parker. INTEGRATING RESEARCH AND DEVELOPMENT INTO A MULTI-FUNCTIONAL OPERATIONAL TELEMETRY SYSTEM , 1985 .
[110] Ingmar Nopens,et al. A consistent modelling methodology for secondary settling tanks in wastewater treatment. , 2011, Water research.
[111] Gustaf Olsson,et al. Modelling the Dynamics of Clarifier Behaviour in Activated Sludge Systems , 1985 .
[112] Christian Rosén,et al. A Chemometric Approach to Process Monitoring and Control - With Applications to Wastewater Treatment Operation , 2001 .
[113] G. Olsson,et al. Reduced Order Models for On-Line Parameter Identification of the Activated Sludge Process , 1993 .
[114] Ingmar Nopens,et al. Shall we upgrade one-dimensional secondary settler models used in WWTP simulators? - An assessment of model structure uncertainty and its propagation. , 2011, Water science and technology : a journal of the International Association on Water Pollution Research.
[115] G. Olsson,et al. Determining Influent Short-Term Biochemical Oxygen Demand by Combined Respirometry and Estimation , 1993 .
[116] C Rosen,et al. Multivariate and multiscale monitoring of wastewater treatment operation. , 2001, Water research.
[117] G Olsson,et al. Control of an anaerobic reactor towards maximum biogas production. , 2004, Water science and technology : a journal of the International Association on Water Pollution Research.
[118] Stefan Diehl,et al. Fundamental nonlinearities of the reactor-settler interaction in the activated sludge process. , 2012, Water science and technology : a journal of the International Association on Water Pollution Research.
[119] W. Verstraete,et al. On-line nitrification monitoring in activated sludge with a titrimetric sensor. , 1997 .
[120] M. B. Beck,et al. Water quality modeling: A review of the analysis of uncertainty , 1987 .
[121] G. Olsson,et al. Stochastic Modeling and Computer Control of a Full Scale Wastewater Treatment Plant , 1976 .
[122] Ulf Jeppsson,et al. Modelling Aspects of Wastewater Treatment Processes , 1996 .
[123] Sigurd Skogestad,et al. Plantwide controlA review and a new design procedure ” , 2013 .
[124] Masakatsu Hiraoka,et al. AUTOMATIC MEASUREMENT AND ANALYSIS OF PROCESS DATA IN A COMBINED WASTEWATER TREATMENT PLANT , 1985 .
[125] Gustaf Olsson,et al. Operation and Control of Wastewater Treatment - A Scandinavian Perspective over 20 years , 1998 .
[126] Gustaf Olsson,et al. A Model Library for Dynamic Simulation of Activated Sludge Systems , 1985 .
[127] 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.
[128] U Jeppsson,et al. Multivariate on-line monitoring: challenges and solutions for modern wastewater treatment operation. , 2003, Water science and technology : a journal of the International Association on Water Pollution Research.
[129] G. Olsson,et al. Dissolved oxygen controller based on on-line measurements of ammonium combining feed-forward and feedback. , 2002, Water science and technology : a journal of the International Association on Water Pollution Research.
[130] K. Gernaey,et al. Benchmarking combined biological phosphorus and nitrogen removal wastewater treatment processes , 2004 .
[131] H Bogaert,et al. A titrimetric respirometer measuring the nitrifiable nitrogen in wastewater using insensor-experiment. , 2001, Water research.
[132] M. B. Beck,et al. Optimisation of control strategies for the urban wastewater system — An integrated approach , 1999 .
[133] J. J. Heijnen,et al. The sharon process: an innovative method for nitrogen removal from ammonium-rich waste water , 1998 .
[134] 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.
[135] W. Verstraete,et al. Biological early warning systems for toxicity based on activated sludge respirometry. , 1993 .
[136] G. Olsson,et al. Benchmarking plant operation and instrumentation, control and automation in the wastewater industry , 2002 .
[137] D. Vrecko,et al. Improvement of ammonia removal in activated sludge process with feedforward-feedback aeration controllers. , 2006, Water science and technology : a journal of the International Association on Water Pollution Research.
[138] Henri Spanjers,et al. Instrumentation in Anaerobic Treatment: Research and Practice , 2006 .
[139] 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.
[140] P A Vanrolleghem,et al. Adding realism to simulated sensors and actuators. , 2008, Water science and technology : a journal of the International Association on Water Pollution Research.
[141] Gustaf Olsson,et al. Modelling, Simulation, and Identification Technologies , 1994 .
[142] Gustaf Olsson,et al. Self-Tuning Control of the Dissolved Oxygen Concentration in Activated Sludge Systems , 1985 .
[143] Shimauchi Shigeyuki,et al. DISTRIBUTION NETWORK CONTROL FOR WATER SUPPLY SYSTEMS , 1985 .
[144] W. D. Meredith,et al. DISSOLVED OXYGEN CONTROL OF ACTIVATED SLUDGE PROCESS , 1974 .
[145] P A Vanrolleghem,et al. Towards a common benchmark for long-term process control and monitoring performance evaluation. , 2004, Water science and technology : a journal of the International Association on Water Pollution Research.
[146] Gustaf Olsson. The Potential of Control and Monitoring , 2013 .
[147] Peter A Vanrolleghem,et al. Monitoring of a sequencing batch reactor using adaptive multiblock principal component analysis. , 2003, Biotechnology and bioengineering.
[148] B. Carlsson,et al. Estimation of the respiration rate and oxygen transfer function utilizing a slow do sensor , 1996 .
[149] M Mulas,et al. Nitrate estimation in the denitrifying post-filtration unit of a municipal wastewater treatment plant: the Viikinmäki case. , 2012, Water science and technology : a journal of the International Association on Water Pollution Research.
[150] J P Steyer,et al. Lessons learnt from 15 years of ICA in anaerobic digesters. , 2006, Water science and technology : a journal of the International Association on Water Pollution Research.
[151] W. Rauch,et al. Minimizing acute river pollution from urban drainage systems by means of integrated real time control , 1996 .
[152] Peter A. Vanrolleghem,et al. Control of External Carbon Addition to Predenitrifying Systems , 1997 .
[153] W. Gujer,et al. A general model for single-sludge wastewater treatment systems , 1987 .
[154] Zhiguo Yuan,et al. Achieving nitrogen removal via nitrite in a pilot-scale continuous pre-denitrification plant. , 2009, Water research.
[155] Ulf Jeppsson,et al. A model of the settler coupled to the biological reactor , 1998 .
[156] P. Vanrolleghem,et al. Estimating (combinations of) Activated Sludge Model No. 1 parameters and components by respirometry , 1999 .
[157] Ulf Jeppsson,et al. Quo Vadis Benchmark Simulation Models , 2011 .
[158] A. Holmberg. On the practical identifiability of microbial growth models incorporating Michaelis-Menten type nonlinearities , 1982 .
[159] W. Verstraete,et al. Simultaneous Biokinetic Characterization of Heterotrophic and Nitrifying Populations of Activated Sludge with an On-Line Respirographic Biosensor , 1993 .
[160] Peter A. Vanrolleghem,et al. Full-scale on-line assessment of toxic wastewaters causing change in biodégradation model structure and parameters , 1995 .
[161] Imre Takács,et al. MODULAR/MULTI-PURPOSE MODELLING SYSTEM FOR THE SIMULATION AND CONTROL OF WASTEWATER TREATMENT PLANTS: AN INNOVATIVE APPROACH , 1990 .
[162] A. Vande Wouwer,et al. Settler dynamic modeling and MATLAB simulation of the activated sludge process , 2009 .
[163] G T Daigger,et al. A practitioner's perspective on the uses and future developments for wastewater treatment modelling. , 2011, Water science and technology : a journal of the International Association on Water Pollution Research.
[164] Ingmar Nopens,et al. A new rule generation method to develop a decision support system for integrated management at river basin scale. , 2009, Water science and technology : a journal of the International Association on Water Pollution Research.
[165] P Grau,et al. Supervisory control strategies for the new WWTP of Galindo-Bilbao: the long run from the conceptual design to the full-scale experimental validation. , 2006, Water science and technology : a journal of the International Association on Water Pollution Research.
[166] J. Keller,et al. Integrated control of nitrate recirculation and external carbon addition in a predenitrification system. , 2004, Water science and technology : a journal of the International Association on Water Pollution Research.
[167] Gürkan Sin,et al. Combining multiway principal component analysis (MPCA) and clustering for efficient data mining of historical data sets of SBR processes. , 2008, Water science and technology : a journal of the International Association on Water Pollution Research.
[168] L C Rietveld,et al. Optimal flow distribution over multiple parallel pellet reactors: a model-based approach. , 2006, Water science and technology : a journal of the International Association on Water Pollution Research.
[169] Minoru Maruyama,et al. Water Demand Forecasting by Memory Based Learning , 1993 .
[170] U Jeppsson,et al. A framework for extreme-event control in wastewater treatment. , 2002, Water science and technology : a journal of the International Association on Water Pollution Research.
[171] J. B. Watts,et al. AN OPERATIONAL USERS APPROACH TO THE INTRODUCTION AND IMPLEMENTATION OF ICA TO A LARGE INLAND SEWAGE WORKS , 1985 .
[172] B. Holenda,et al. Dissolved oxygen control of the activated sludge wastewater treatment process using model predictive control , 2008, Comput. Chem. Eng..
[173] Gustaf Olsson,et al. Respirometry in control of the activated sludge process , 1996 .
[174] M. Yong,et al. Intelligent control aeration and external carbon addition for improving nitrogen removal , 2006, Environ. Model. Softw..
[175] M. Maragkou,et al. Real-time control , 2014 .
[176] Wolfgang Rauch,et al. Genetic algorithms in real time control applied to minimize transient pollution from urban wastewater systems , 1999 .
[177] P. Olner. TELEMETRY CONTROL SYSTEMS AND INTEGRATED DATA SYSTEMS , 1985 .
[178] Peter Pflanz,et al. PERFORMANCE OF (ACTIVATED SLUDGE) SECONDARY SEDIMENTATION BASINS , 1969 .
[179] G. Olsson. State of the Art in Sewage Treatment Plant Control , 1976 .
[180] J P Steyer,et al. Robust interval-based regulation for anaerobic digestion processes. , 2005, Water science and technology : a journal of the International Association on Water Pollution Research.
[181] Bengt Carlsson,et al. Adaptive control of external carbon flow rate in an activated sludge process , 1996 .
[182] Gürkan Sin,et al. Multi-criteria evaluation of wastewater treatment plant control strategies under uncertainty. , 2008, Water research.
[183] P. Vanrolleghem,et al. Cost-effective development of urban wastewater systems for Water Framework Directive compliance – the CD4WC EU project , 2004 .
[184] George Crawford,et al. Best Practices for Sustainable Wastewater Treatment: Initial Case Study Incorporating European Experience and Evaluation Tool Concept , 2010 .
[185] H. Spanjers,et al. Control of Activated Sludge Plants Based on Measurement of Respiration Rates , 1993 .
[186] Adrian Oehmen,et al. Control of nitrate recirculation predentrification systems , 2001 .
[187] Ingmar Nopens,et al. Extending and calibrating a mechanistic hindered and compression settling model for activated sludge using in-depth batch experiments. , 2008, Water research.
[188] David Cecil. The control of denitrification time in full scale by the automatic detection of the low nitrate bend in the redox curve. , 2008, Water science and technology : a journal of the International Association on Water Pollution Research.
[189] Gustaf Olsson,et al. The dissolved oxygen profile—A valuable tool for control of the activated sludge process , 1978 .
[190] R. W. Bayley,et al. AUTOMATIC CONTROL OF THE ACTIVATED-SLUDGE PROCESS AND POTENTIAL SAVINGS IN TREATMENT COSTS , 1974 .
[191] Willy Verstraete,et al. Sludge Blanket Height Control in Secondary Clarifiers , 2001 .
[192] Gustaf Olsson,et al. Pipeline Break Detection Using Pressure Transient Monitoring , 2005 .
[193] Gustaf Olsson,et al. Modeling and Identification of an Activated Sludge Process , 1976 .
[194] P. Vanrolleghem,et al. Activated sludge monitoring with combined respirometric-titrimetric measurements. , 2001, Water research.
[195] Marinus K. Nielsen,et al. Improvement of a recirculating plant by introducing star control , 1995 .
[196] Henri Spanjers,et al. Direct parameter extraction from respirograms for wastewater and biomass characterization , 1999 .
[197] Michael Knudson Stenstrom,et al. A DYNAMIC MODEL AND COMPUTER COMPATIBLE CONTROL STRATEGIES FOR WASTEWATER TREATMENT PLANTS , 1976 .