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For the purpose of reducing the detrimental effect it brings, it is of urgent necessity to control emissions of flue gas in power plants, since a substantial proportion of sulphur dioxide in the atmosphere stems from flue gas generated in the whole process of electricity generation. However, the complexity and nondeterminism of the environment increase the occurrences of anomalies in practical flue gas desulphurization system. Anomalies in industrial desulphurization system would induce severe consequences and pose challenges for high-performance control with classical control strategies. In this article, based on process data sampled from 1000\u2009MW unit flue gas desulphurization system in a coal-fired power plant, a multimodel control strategy with multilayer parallel dynamic neural network (MPDNN) is utilized to address the control problem in the context of different anomalies. In addition, simulation results indicate the applicability and effectiveness of the proposed control method by comparing with different cases.<\/jats:p>","DOI":"10.1155\/2020\/6046729","type":"journal-article","created":{"date-parts":[[2020,10,13]],"date-time":"2020-10-13T02:35:07Z","timestamp":1602556507000},"page":"1-17","source":"Crossref","is-referenced-by-count":1,"title":["Multimodel Anomaly Identification and Control in Wet Limestone-Gypsum Flue Gas Desulphurization System"],"prefix":"10.1155","volume":"2020","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8627-6221","authenticated-orcid":true,"given":"Xiaoli","family":"Li","sequence":"first","affiliation":[{"name":"Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China"},{"name":"Beijing Key Laboratory of Computational Intelligence and Intelligent System, Engineering Research Center of Digital Community, Ministry of Education, Beijing 100124, China"},{"name":"Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, Beijing 100124, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6974-0125","authenticated-orcid":true,"given":"Quanbo","family":"Liu","sequence":"additional","affiliation":[{"name":"Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8403-7606","authenticated-orcid":true,"given":"Kang","family":"Wang","sequence":"additional","affiliation":[{"name":"Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fuqiang","family":"Wang","sequence":"additional","affiliation":[{"name":"Technology Research Center, Shenhua Guohua(Beijing) Electric Power Research Institute Corporation, Beijing 100025, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guimei","family":"Cui","sequence":"additional","affiliation":[{"name":"School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou 014010, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5164-5568","authenticated-orcid":true,"given":"Yang","family":"Li","sequence":"additional","affiliation":[{"name":"School of International Studies, Communication University of China, Beijing 100024, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1016\/j.fuel.2012.09.074"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1016\/j.cej.2010.12.030"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1016\/s1001-0742(08)60004-2"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1021\/ie202770b"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1021\/ie102239q"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1021\/ie9709446"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.3155\/1047-3289.60.8.1009"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.1145\/1541880.1541882"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.1016\/j.arcontrol.2016.09.001"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.1109\/EUROSIM.2013.88"},{"key":"11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-37270-4_27"},{"key":"12","doi-asserted-by":"publisher","DOI":"10.1109\/ICNC.2013.6817959"},{"key":"13","doi-asserted-by":"publisher","DOI":"10.3182\/20140824-6-za-1003.01913"},{"key":"14","doi-asserted-by":"publisher","DOI":"10.1016\/j.fuel.2014.12.065"},{"key":"15","doi-asserted-by":"publisher","DOI":"10.1016\/j.seppur.2010.10.013"},{"key":"16","doi-asserted-by":"publisher","DOI":"10.1137\/090776718"},{"key":"17","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2017.09.021"},{"volume-title":"Pattern Recognition","year":"2009","author":"S. 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