[1] Shannon M A, Bohn P W, Elimelech M, Georgiadis J G, Mariñas B J, Mayes A M. Science and technology for water purification in the coming decades. Nature, 2008, 452(7185): 301-310 doi: 10.1038/nature06599
[2] Hamitlon R, Braun B, Dare R, Koopman B, Svoronos S A. Control issues and challenges in wastewater treatment plants. IEEE Control Systems, 2006, 26(4): 63-69 doi: 10.1109/MCS.2006.1657877
[3] Åmand L, Carlsson B. Optimal aeration control in a nitrifying activated sludge process. Water Research, 2012, 46(7): 2101-2110 http://www.sciencedirect.com/science/article/pii/S0043135412000437
[4] Carlsson B, Rehnström A. Control of an activated sludge process with nitrogen removal——a benchmark study. Water Science and Technology, 2002, 45(4-5): 135-142 https://www.researchgate.net/publication/11428585_Control_of_an_activated_sludge_process_with_nitrogen_removal_-_A_benchmark_study
[5] Wahab N A, Katebi R, Balderud J. Multivariable PID control design for activated sludge process with nitrification and denitrification. Biochemical Engineering Journal, 2009, 45(3): 239-248 doi: 10.1016/j.bej.2009.04.016
[6] Harja G, Nascu I, Muresan C, Nascu I. Improvements in dissolved oxygen control of an activated sludge wastewater treatment process. Circuits, Systems, and Signal Processing, 2016, 35(6): 2259-2281 doi: 10.1007/s00034-016-0282-y
[7] Ostace G S, Baeza J A, Guerrero J, Guisasola A, Cristea V M, Agachi P S, Lafuente J. Development and economic assessment of different WWTP control strategies for optimal simultaneous removal of carbon, nitrogen and phosphorus. Computers and Chemical Engineering, 2013, 53: 164-177 doi: 10.1016/j.compchemeng.2013.03.007
[8] Qiao J F, Bo Y C, Chai W, Han H G. Adaptive optimal control for a wastewater treatment plant based on a data-driven method. Water Science and Technology, 2013, 67(10): 2314-2320 doi: 10.2166/wst.2013.087
[9] 韩广, 乔俊飞, 韩红桂, 柴伟.基于Hopfield神经网络的污水处理过程优化控制.控制与决策, 2014, 29(11): 2085-2088 http://www.cnki.com.cn/Article/CJFDTOTAL-KZYC201411029.htm

Han Guang, Qiao Jun-Fei, Han Hong-Gui, Chai Wei. Optimal control for wastewater treatment process based on Hopfield neural network. Control and Decision, 2014, 29(11): 2085-2088 http://www.cnki.com.cn/Article/CJFDTOTAL-KZYC201411029.htm
[10] Santín I, Pedret C, Vilanova R. Applying variable dissolved oxygen set point in a two level hierarchical control structure to a wastewater treatment process. Journal of Process Control, 2015, 28: 40-55 doi: 10.1016/j.jprocont.2015.02.005
[11] Zhang R, Xie W M, Yu H Q, Li W W. Optimizing municipal wastewater treatment plants using an improved multi-objective optimization method. Bioresource Technology, 2014, 157: 161-165 doi: 10.1016/j.biortech.2014.01.103
[12] Sweetapple C, Fu G T, Butler D. Multi-objective optimisation of wastewater treatment plant control to reduce greenhouse gas emissions. Water Research, 2014, 55: 52-62 doi: 10.1016/j.watres.2014.02.018
[13] Hreiz R, Roche N, Benyahia B, Latifi M A. Multi-objective optimal control of small-size wastewater treatment plants. Chemical Engineering Research and Design, 2015, 102: 345-353 doi: 10.1016/j.cherd.2015.06.039
[14] Qiao J F, Zhang W. Dynamic multi-objective optimization control for wastewater treatment process. Neural Computing and Applications, 2016. 1-11, DOI: 10.1007/s00521-016-2642-8
[15] Mendes R, Rocha I, Pinto J P, Ferreira E C, Rocha M. Differential evolution for the offline and online optimization of fed-batch fermentation processes. Advances in Differential Evolution. Berlin: Springer-Heidelberg, 2008. 299-317
[16] Wang Y, Li B. Investigation of memory-based multi-objective optimization evolutionary algorithm in dynamic environment. In: Proceedings of the 2009 IEEE Congress on Evolutionary Computation. Trondheim, Norway: IEEE, 2009. 630-637
[17] 柴天佑.复杂工业过程运行优化与反馈控制.自动化学报, 2013, 39(11): 1744-1757 http://www.aas.net.cn/CN/abstract/abstract18214.shtml

Chai Tian-You. Operational optimization and feedback control for complex industrial processes. Acta Automatica Sinica, 2013, 39(11): 1744-1757 http://www.aas.net.cn/CN/abstract/abstract18214.shtml
[18] Porter B W, Bareiss R, Holte R C. Concept learning and heuristic classification in weak-theory domains. Artificial Intelligence, 1990, 45(1-2): 229-263 doi: 10.1016/0004-3702(90)90041-W
[19] Cunningham P. A taxonomy of similarity mechanisms for case-based reasoning. IEEE Transactions on Knowledge and Data Engineering, 2009, 21(11): 1532-1543 doi: 10.1109/TKDE.2008.227
[20] Cover T, Hart P. Nearest neighbor pattern classification. IEEE Transactions on Information Theory, 1967, 13(1): 21-27 doi: 10.1109/TIT.1967.1053964
[21] Zhou P, Chai T Y, Wang H. Intelligent optimal-setting control for grinding circuits of mineral processing process. IEEE Transactions on Automation Science and Engineering, 2009, 6(4): 730-743 doi: 10.1109/TASE.2008.2011562
[22] Cheng S X, Zhan H, Shu Z X. An innovative hybrid multi-objective particle swarm optimization with or without constraints handling. Applied Soft Computing, 2016, 47: 370-388 doi: 10.1016/j.asoc.2016.06.012