{"id":"https://openalex.org/W2891479007","doi":"https://doi.org/10.1109/vss.2018.8460461","title":"Estimation of Contaminants Decomposition in Solid Phase with Ozone by Differential Neural Networks with Discontinuous Learning Law","display_name":"Estimation of Contaminants Decomposition in Solid Phase with Ozone by Differential Neural Networks with Discontinuous Learning Law","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2891479007","doi":"https://doi.org/10.1109/vss.2018.8460461","mag":"2891479007"},"language":"en","primary_location":{"id":"doi:10.1109/vss.2018.8460461","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vss.2018.8460461","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 15th International Workshop on Variable Structure Systems (VSS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057540537","display_name":"Tatyana Poznyak","orcid":"https://orcid.org/0000-0002-0341-5741"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"T. Poznyak","raw_affiliation_strings":["Superior School of Chemical Engineering and Extractive Industries, IPN"],"affiliations":[{"raw_affiliation_string":"Superior School of Chemical Engineering and Extractive Industries, IPN","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079939647","display_name":"Isaac Cha\u00edrez","orcid":"https://orcid.org/0000-0002-7157-2052"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"I. Chairez","raw_affiliation_strings":["Professional Interdisciplinary Unit of Biotechnology, IPN"],"affiliations":[{"raw_affiliation_string":"Professional Interdisciplinary Unit of Biotechnology, IPN","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015067771","display_name":"Alexander S. Poznyak","orcid":"https://orcid.org/0000-0002-5378-4545"},"institutions":[{"id":"https://openalex.org/I68368234","display_name":"Center for Research and Advanced Studies of the National Polytechnic Institute","ror":"https://ror.org/009eqmr18","country_code":"MX","type":"facility","lineage":["https://openalex.org/I59361560","https://openalex.org/I68368234"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"A. Poznyak","raw_affiliation_strings":["DCA, CINVESTAV-IPN"],"affiliations":[{"raw_affiliation_string":"DCA, CINVESTAV-IPN","institution_ids":["https://openalex.org/I68368234"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5057540537"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.10660651,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"3","issue":null,"first_page":"291","last_page":"296"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9789000153541565,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9789000153541565,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11472","display_name":"Analytical Chemistry and Sensors","score":0.9769999980926514,"subfield":{"id":"https://openalex.org/subfields/1502","display_name":"Bioengineering"},"field":{"id":"https://openalex.org/fields/15","display_name":"Chemical Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14249","display_name":"Water Quality Monitoring and Analysis","score":0.9668999910354614,"subfield":{"id":"https://openalex.org/subfields/2311","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/observer","display_name":"Observer (physics)","score":0.6425632238388062},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.6113173961639404},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6091227531433105},{"id":"https://openalex.org/keywords/identifier","display_name":"Identifier","score":0.6050955653190613},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.6004315614700317},{"id":"https://openalex.org/keywords/law","display_name":"Law","score":0.5453048944473267},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.495882123708725},{"id":"https://openalex.org/keywords/lyapunov-function","display_name":"Lyapunov function","score":0.4803422689437866},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4583962857723236},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3494781255722046},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3399254083633423},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31265583634376526},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.2332891821861267},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09934920072555542},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08431604504585266}],"concepts":[{"id":"https://openalex.org/C2780704645","wikidata":"https://www.wikidata.org/wiki/Q9251458","display_name":"Observer (physics)","level":2,"score":0.6425632238388062},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.6113173961639404},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6091227531433105},{"id":"https://openalex.org/C154504017","wikidata":"https://www.wikidata.org/wiki/Q853614","display_name":"Identifier","level":2,"score":0.6050955653190613},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.6004315614700317},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.5453048944473267},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.495882123708725},{"id":"https://openalex.org/C60640748","wikidata":"https://www.wikidata.org/wiki/Q2337858","display_name":"Lyapunov function","level":3,"score":0.4803422689437866},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4583962857723236},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3494781255722046},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3399254083633423},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31265583634376526},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.2332891821861267},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09934920072555542},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08431604504585266},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vss.2018.8460461","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vss.2018.8460461","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 15th International Workshop on Variable Structure Systems (VSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W23764068","https://openalex.org/W1565119616","https://openalex.org/W1968868435","https://openalex.org/W1982161796","https://openalex.org/W1985142069","https://openalex.org/W1996193936","https://openalex.org/W2001793560","https://openalex.org/W2005785245","https://openalex.org/W2013531808","https://openalex.org/W2038544121","https://openalex.org/W2070444145","https://openalex.org/W2078844546","https://openalex.org/W2094635544","https://openalex.org/W2119883853","https://openalex.org/W2226779849","https://openalex.org/W2550537901","https://openalex.org/W4244977694","https://openalex.org/W6646728114"],"related_works":["https://openalex.org/W4378651134","https://openalex.org/W4252684102","https://openalex.org/W2352307597","https://openalex.org/W1979633005","https://openalex.org/W2163724607","https://openalex.org/W3135403405","https://openalex.org/W2023227762","https://openalex.org/W2608983118","https://openalex.org/W1980092392","https://openalex.org/W2118976126"],"abstract_inverted_index":{"A":[0,89],"discontinuous":[1,48],"learning":[2,22,45],"law":[3,23],"is":[4,100],"implemented":[5],"here":[6],"to":[7],"adjust":[8],"an":[9,31],"adaptive":[10],"non-parametric":[11],"identifier,":[12],"based":[13],"on":[14,71,78],"the":[15,27,36,41,54,79,81,93,97,103,117,128,131,135],"differential":[16],"neural":[17],"networks":[18],"(DNNs)":[19],"approximations.":[20],"The":[21,44,66,106],"for":[24],"DNN":[25,42],"uses":[26],"vector":[28],"form":[29],"of":[30,56,60,84,102],"extended":[32],"super-twisting":[33],"algorithm":[34],"as":[35],"output":[37],"injection":[38],"term":[39],"in":[40],"structure.":[43],"laws":[46],"with":[47],"dynamics":[49],"have":[50],"been":[51,109],"obtained":[52,115],"from":[53],"application":[55],"a":[57,85,139],"special":[58],"class":[59],"strong":[61],"lower":[62],"semi-continuous":[63],"Lyapunov":[64],"function.":[65],"developed":[67],"observer":[68,94,107],"was":[69],"tested":[70],"both":[72,122],"modelled":[73],"and":[74,125,134],"experimental":[75,113],"input-output":[76,98],"information":[77,99],"specific":[80],"ozonation":[82,132],"process":[83],"contaminated":[86],"solid":[87],"phase.":[88],"numerical":[90],"example":[91],"illustrates":[92],"performance":[95],"when":[96],"free":[101],"observation":[104],"noise.":[105],"has":[108],"evaluated":[110],"using":[111],"real":[112,126],"data,":[114],"by":[116],"direct":[118],"laboratory":[119],"analysis.":[120],"In":[121],"cases,":[123],"modelling":[124],"experiments,":[127],"coincidence":[129],"between":[130],"variables":[133],"estimated":[136],"states":[137],"shows":[138],"remarkable":[140],"correspondence.":[141]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-04-22T08:38:42.863108","created_date":"2025-10-10T00:00:00"}
