｛“id”：“https://openalex.org/W3137956598“，”doi“：”https://doi.org/10.3390/s21062085“，”title“：”状态估计的新趋势：从模型驱动到混合驱动方法“，”display_name“：”状态估计的新趋势：从模型驱动到混合驱动方法“，”publication_year“：2021，”publication_date“：”2021-03-16“，”ids“：｛”openalex“：”https://openalex.org/W3137956598“，”doi“：”https://doi.org/10.3390/s21062085“，”mag“：”3137956598“，”pmid“：”https://pubmed.ncbi.nlm.nih.gov/33809743“，”pmcid“：”https://www.ncbi.nlm.nih.gov/pmc/articles/8002332“}，”language“：”en“，”primary_location“：{”is_oa“：true，”landing_page_url“：”https://doi.org/10.3390/s21062085，“pdf_url”：https://www.mdpi.com/1424-8220/21/6/2085/pdf？版本=1616232916，“源”：{“id”：https://openalex.org/S101949793“，”display_name“：”Sensors“，”issn_l“：”1424-8220“，”isn“：[”1424-8120“]，”is_oa“：true，”is_ in_doaj“：true，”host_organization“：”https://openalex.org/P4310310987“，”“host_organization_name”：“多学科数字出版研究所”，“host_ordanization_lineage”：[“https://openalex.org/P4310310987“]，”host_organization_lineage_names“：[”多学科数字出版研究所“]，“type”：“journal”}，“license”：“cc-by”，“licence_id”：“https://openalex.org/licenses/cc-by“，”version“：”publishedVersion“，”is_accepted“：true，”is_published“：true}，”type“：”article“，”type_crossref“：“journal-article”，”indexed_in“：[”crossref“]，”open_access“：{”is_oa“：true，”oa_status“：”gold“，”oa_url“：”https://www.mdpi.com/1424-8220/21/6/2085/pdf？版本=1616232916“，”any_repository_has_fulltext“：true}，”authorships“：[{”author_position“：”第一“，”作者“：{”id“：”https://openalex.org/A5031227420“，”display_name“：”Xue\u2010Bo Jin“，”orcid“：”https://orcid.org/0000-0002-2230-0077}，“机构”：[{“id”：https://openalex.org/I179026463“，”display_name“：”北京工商大学“，”ror“：”https://ror.org/013e0zm98“，”country_code“：”CN“，”type“：“教育”，”世系“：[”https://openalex.org/I179026463“]｝]，”国家“：[”CN“]，”is_correresponsing“：false，”raw_author_name“：”薛博进“，”raw_affiation_string“：[”北京工商大学人工智能学院，北京100048，中国“]，”附属机构“：[｛”raw_affiation_string“：”北京工商大学人工智能学院，中国北京100048”，“institution_ids”：[“https://openalex.org/I179026463“]}]}，{”author_position“：”middle“，”author“：{”id“：”https://openalex.org/A5049895789“，”display_name“：”Ruben Jonhson Robert Jeremiah“，”orcid“：”https://orcid.org/0000-0001-9071-5373}，“机构”：[{“id”：https://openalex.org/I179026463“，”display_name“：”北京工商大学“，”ror“：”https://ror.org/013e0zm98“，”country_code“：”CN“，”type“：“教育”，”世系“：[”https://openalex.org/I179026463“]}]，”国家“：[”CN“]，”is_corresponding“：false，”raw_author_name“：”Ruben Jonhson Robert Jeremiah“，”raw _ afiliation_strings“：[“北京工商大学食品与健康学院，中国北京100048”]，”affiliations“：”北京工商大学食品与健康学院，中国北京100048”，“institution_ids”：[“https://openalex.org/I179026463“]}]}，{”author_position“：”middle“，”author“：{”id“：”https://openalex.org/A5067818846“，”display_name“：”Tingli Su“，”orcid“：”https://orcid.org/0000-0002-9361-1702}，“机构”：[{“id”：https://openalex.org/I179026463“，”display_name“：”北京工商大学“，”ror“：”https://ror.org/013e0zm98“，”country_code“：”CN“，”type“：“教育”，”世系“：[”https://openalex.org/I179026463“]}]，”国家“：[”CN“]，”is_corresponding“：true，”raw_author_name“：”Ting-Li Su“，”raw_affiliation_strings“：[“北京工商大学人工智能学院，北京100048”]，”affiliations“：[{”raw_affiliation_string“：”北京工商大学人工智能学院，中国北京100048”，“机构ID”：[”https://openalex.org/I179026463“]}]}，{”author_position“：”middle“，”author“：{”id“：”https://openalex.org/A5088907463“，”display_name“：”玉亭白“，”兽人“：”https://orcid.org/0000-0001-8047-1010}，“机构”：[{“id”：https://openalex.org/I179026463“，”display_name“：”北京工商大学“，”ror“：”https://ror.org/013e0zm98“，”country_code“：”CN“，”type“：“教育”，”世系“：[”https://openalex.org/I179026463“]}]，”国家“：[”CN“]，”is_corresponding“：false，”raw_author_name“：”白玉亭“，”raw _ afiliation_strings“：[“北京工商大学人工智能学院，北京100048，中国”]，”affiliations“：[{”raw_ afiliation _string“：”北京工商大学人工智能学院，中国北京100048”，“institution_ids”：[“https://openalex.org/I179026463“]}]}，{”author_position“：”last“，”author“：{”id“：”https://openalex.org/A5025536472“，”display_name“：”Jianlei Kong“，”orcid“：”https://orcid.org/0000-0002-0074-3467}，“机构”：[{“id”：https://openalex.org/I179026463“，”display_name“：”北京工商大学“，”ror“：”https://ror.org/013e0zm98“，”country_code“：”CN“，”type“：“教育”，”世系“：[”https://openalex.org/I179026463“]}]，”国家“：[”CN“]，”is_corresponding“：false，”raw_author_name“：”Jian-Lei Kong“，”raw _ afiliation_strings“：[“北京工商大学人工智能学院，中国北京100048”]，”affiliations“：[{”raw _affiliation_strong“：”北京工商大学人工智能学院，中国北京100048”，“institution_ids”：[“https://openalex.org/I179026463“]}]}]，”countries_disticont_count“：1，”institutions_disticent_count”：1，“corresponding_author_ids”：[“https://openalex.org/A5067818846“]，”对应的机构ID“：[”https://openalex.org/I179026463“]，”apc_list“：{”value“：2400，”currency“：”CHF“，”value_usd“：2598，”provenance“：”doaj“}，”apc _payed“：{“value”：2400、”current“：”CHF“，”value_usd”：2598、“provenance”：“doaj”}、“fwci”：13.418、“has_fulltext_origin”：“pdf”、“cited_by_count”：65、“ciped_by_percentile_year”：{“min”“：98，”max“：99}，”biblio“：{”volume“：”21“，”issue“：”6“，”first_page“：”2085“，”last_page“：”2085“}，”is_retracted“：false，”is_paratext“：fase，”primary_topic“：{”id“：”https://openalex.org/T10711“，”“display_name”：“粒子滤波和非线性估计方法”，“score”：0.9999，“subfield”：{“id”：“https://openalex.org/subfields/1702“，”display_name“：”人工智能“}，”字段“：{”id“：”https://openalex.org/fields/17“，”display_name“：”Computer Science“}，”domain“：{”id“：”https://openalex.org/domains/3“，”display_name“：”物理科学“}}，”主题“：[{”id“：”https://openalex.org/T10711“，”“display_name”：“粒子滤波和非线性估计方法”，“score”：0.9999，“subfield”：{“id”：“https://openalex.org/subfields/1702“，”display_name“：”人工智能“}，”字段“：{”id“：”https://openalex.org/fields/17“，”display_name“：”Computer Science“}，”domain“：{”id“：”https://openalex.org/domains/3“，”display_name“：”物理科学“｝｝，｛”id“：”https://openalex.org/T10876“，”“display_name”：“工业过程故障检测与诊断”，“score”：0.9952，“subfield”：{“id”：“https://openalex.org/subfields/2207“，”display_name“：”控制与系统工程“}，”字段“：{”id“：”https://openalex.org/fields/22“，”display_name“：”Engineering“}，”domain“：{”id“：”https://openalex.org/domains/3“，”display_name“：”物理科学“｝｝，｛”id“：”https://openalex.org/T11512“，”“display_name”：“高维数据中的异常检测”，“score”：0.984，“subfield”：{“id”：“https://openalex.org/subfields/1702“，”display_name“：”人工智能“}，”字段“：{”id“：”https://openalex.org/fields/17“，”display_name“：”Computer Science“}，”domain“：{”id“：”https://openalex.org/domains/3“，”display_name“：”物理科学“}}]，”关键词“：[{”id“：”https://openalex.org/keywords/state-eestimation网站“，”display_name“：”状态估计“，”score“：0.581341}，{”id“：”https://openalex.org/keywords/kalman-filters网站“，”display_name“：”卡尔曼滤波器“，”score“：0.52741｝]，”concepts“：[｛”id“：”https://openalex.org/C157286648，“wikidata”：https://www.wikidata.org/wiki/Q846780“，”display_name“：”卡尔曼滤波器“，”level“：2，”score“：0.765133}，{”id“：”https://openalex.org/C206833254，“wikidata”：https://www.wikidata.org/wiki/Q5421817“，”display_name“：”扩展卡尔曼滤波器“，”level“：3，”score“：0.63080263}，{”id“：”https://openalex.org/C41008148，“wikidata”：https://www.wikidata.org/wiki/Q21198“，”display_name“：”计算机科学“，”level“：0，”score“：0.6273409｝，｛”id“：”https://openalex.org/C48103436，“wikidata”：https://www.wikidata.org/wiki/Q599031“，”display_name“：”State（computer science）“，”level“：2，”score“：0.54098475}，{”id“：”https://openalex.org/C52421305，“wikidata”：https://www.wikidata.org/wiki/Q1151499“，”display_name“：”粒子过滤器“，”level“：3，”score“：0.53821844}，{”id“：”https://openalex.org/C8639503，“wikidata”：https://www.wikidata.org/wiki/Q6059511“，”display_name“：”不变量扩展卡尔曼滤波器“，”level“：4，”score“：0.4400958}，{”id“：”https://openalex.org/C96250715，“wikidata”：https://www.wikidata.org/wiki/Q965330“，”display_name“：”Estimation“，”level“：2，”score“：0.42157623}，{”id“：”https://openalex.org/C106131492，“wikidata”：https://www.wikidata.org/wiki/Q3072260“，”display_name“：”过滤器（信号处理）“，”级别“：2，”分数“：0.41954646}，{”id“：”https://openalex.org/C133731056，“wikidata”：https://www.wikidata.org/wiki/Q4917288“，”display_name“：”控制工程“，”level“：1，”score“：0.4068753}，{”id“：”https://openalex.org/C47446073，“wikidata”：https://www.wikidata.org/wiki/Q5165890“，”display_name“：”控制理论（社会学）“，”level“：3，”score“：0.33002886}，{”id“：”https://openalex.org/C154945302，“wikidata”：https://www.wikidata.org/wiki/Q11660“，”display_name“：”人工智能“，”level“：1，”score“：0.2923581}，{”id“：”https://openalex.org/C127413603，“wikidata”：https://www.wikidata.org/wiki/Q11023“，”display_name“：”Engineering“，”level“：0，”score“：0.22091296}，{”id“：”https://openalex.org/C11413529，“wikidata”：https://www.wikidata.org/wiki/Q8366“，”display_name“：”Algorithm“，”level“：1，”score“：0.21567017}，{”id“：”https://openalex.org/C2775924081，“wikidata”：https://www.wikidata.org/wiki/Q55608371网址“，”display_name“：”Control（management）“，”level“：2，”score“：0.07481426}，{”id“：”https://openalex.org/C201995342，“wikidata”：https://www.wikidata.org/wiki/Q682496“，”display_name“：”系统工程“，”level“：1，”score“：0.07283676}，{”id“：”https://openalex.org/C31972630，“wikidata”：https://www.wikidata.org/wiki/Q844240“，”display_name“：”计算机视觉“，”level“：1，”score“：0.0}]，”mesh“：[]，”locations_count“：2，”location“：[{”is_oa“：true，”landing_page_url“：”https://doi.org/10.3390/s21062085，“pdf_url”：https://www.mdpi.com/1424-8220/21/6/2085/pdf？版本=1616232916，“源”：{“id”：https://openalex.org/S101949793“，”display_name“：”Sensors“，”issn_l“：”1424-8220“，”isn“：[”1424-8120“]，”is_oa“：true，”is_ in_doaj“：true，”host_organization“：”https://openalex.org/P4310310987“，”“host_organization_name”：“多学科数字出版研究所”，“host_ordanization_lineage”：[“https://openalex.org/P4310310987“]，”host_organization_lineage_names“：[”多学科数字出版研究所“]，“type”：“journal”}，“license”：“cc-by”，“licence_id”：“https://openalex.org/licenses/cc-by“，”版本“：”已发布版本“，”is_accepted“：true，”is_published“：true｝，｛”is_oa“：true，”landing_page_url“：”https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8002332网址“，”pdf_url“：空，”源“：{”id“：”https://openalex.org/S2764455111“，”display_name“：”PubMed Central“，”issn_l“：null，”issn“：null，”is_oa“：true，”is_ in_doaj“：false，”host_organization“：”https://openalex.org/I1299303238“，”“host_organization_name”：“美国国立卫生研究院”，“host_ordanization_lineage”：[“https://openalex.org/I1299303238“]，”host_organization_lineage_names“：[”National Institutes of Health“]，“type”：“repository”}，“license”：null，“licence_id”：null，“version”：“publishedVersion”，“is_accepted”：true，“is_published”：true}]，“best_oa_location”：{“is_oa”：true，“landing_page_url”：“https://doi.org/10.3390/s21062085，“pdf_url”：https://www.mdpi.com/1424-8220/21/6/2085/pdf？版本=1616232916，“源”：{“id”：https://openalex.org/S101949793“，”display_name“：”Sensors“，”issn_l“：”1424-8220“，”isn“：[”1424-8120“]，”is_oa“：true，”is_ in_doaj“：true，”host_organization“：”https://openalex.org/P4310310987“，”“host_organization_name”：“多学科数字出版研究所”，“host_ordanization_lineage”：[“https://openalex.org/P4310310987“]，”host_organization_lineage_names“：[”多学科数字出版研究所“]，“type”：“journal”}，“license”：“cc-by”，“licence_id”：“https://openalex.org/licenses/cc-by“，”version“：”publishedVersion“，”is_accepted“：true，”is_published“：true}，”sustainable_development_goals“：[]，”grants“：{”funder“：”https://openalex.org/F4320321001“，”funder_display_name“：”国家自然科学基金“，”award_id“：”61903009“}]，”datasets“：[]，”versions“：[]，”referenced_works_count“：106，”referrenced_works“：[”https://openalex.org/W1510355813","https://openalex.org/W1600022730","https://openalex.org/W1979731521","https://openalex.org/W1995960411","https://openalex.org/W2011504567","https://openalex.org/W2028436885","https://openalex.org/W2064675550","https://openalex.org/W2076186907","https://openalex.org/W2076546887","https://openalex.org/W2077188078","https://openalex.org/W2105934661","https://openalex.org/W2106411961","https://openalex.org/W2115307050","https://openalex.org/W2120679422","https://openalex.org/W2121990344","https://openalex.org/W2126362307","https://openalex.org/W2130942839","https://openalex.org/W2160337655","https://openalex.org/W2166417161","https://openalex.org/W2344510161","https://openalex.org/W2405118140","https://openalex.org/W2409156664","https://openalex.org/W2516232829","https://openalex.org/W2560332100","https://openalex.org/W2576806004","https://openalex.org/W2582188783","https://openalex.org/W2607383521","https://openalex.org/W2614481326","https://openalex.org/W2624921137","https://openalex.org/W2752533924","https://openalex.org/W2767257026","https://openalex.org/W2767490306","https://openalex.org/W2771877920","https://openalex.org/W2783513665","https://openalex.org/W2783556645","https://openalex.org/W2789154978","https://openalex.org/W2791596545","https://openalex.org/W2795713901","https://openalex.org/W2796551753","https://openalex.org/W2809367148","https://openalex.org/W2839526029","https://openalex.org/W2890369708","https://openalex.org/W2893328278","https://openalex.org/W2894448136","https://openalex.org/W2896604477","https://openalex.org/W2900191042","https://openalex.org/W2903250535","https://openalex.org/W2905369679","https://openalex.org/W2906727181","https://openalex.org/W2915945464","https://openalex.org/W2917832368","https://openalex.org/W2921319277","https://openalex.org/W2923730465","https://openalex.org/W2936908195","https://openalex.org/W2940265767","https://openalex.org/W2942392852","https://openalex.org/W2948300920","https://openalex.org/W2949754992","https://openalex.org/W2949856406","https://openalex.org/W2952534775","https://openalex.org/W2958339834","https://openalex.org/W2963384393","https://openalex.org/W2963590654","https://openalex.org/W2963750652","https://openalex.org/W2964314726","https://openalex.org/W2970682416","https://openalex.org/W2978787066","https://openalex.org/W2979757634","https://openalex.org/W2981704113","https://openalex.org/W2982824732","https://openalex.org/W2984034812","https://openalex.org/W2987623830","https://openalex.org/W2989887134","https://openalex.org/W298988807","https://openalex.org/W2993509553","https://openalex.org/W2997444524","https://openalex.org/W2998096733","https://openalex.org/W2998978620","https://openalex.org/W3001278556","https://openalex.org/W3004033697","https://openalex.org/W3004483480","https://openalex.org/W3005177200","https://openalex.org/W3006048679","https://openalex.org/W3009546766","https://openalex.org/W300982251","https://openalex.org/W3010182686","https://openalex.org/W3010421437","https://openalex.org/W3016954429","https://openalex.org/W3017977360","https://openalex.org/W3027080090","https://openalex.org/W3036353324","https://openalex.org/W3043943213网址","https://openalex.org/W3084014984","https://openalex.org/W30848888580","https://openalex.org/W3085946920","https://openalex.org/W3093308276","https://openalex.org/W3093537666","https://openalex.org/W3110024037","https://openalex.org/W3110453132网址","https://openalex.org/W3110569663","https://openalex.org/W3118313511","https://openalex.org/W3128168331","https://openalex.org/W3128596107","https://openalex.org/W3136018460","https://openalex.org/W4299816210","https://openalex.org/W854541894“]，”related_works“：[”https://openalex.org/W4253883008","https://openalex.org/W4252024964","https://openalex.org/W4206024512","https://openalex.org/W2341297234","https://openalex.org/W2182059946","https://openalex.org/W2164404293","https://openalex.org/W2162299404","https://openalex.org/W2103062922","https://openalex.org/W1585960250","https://openalex.org/W1035502194“]，”ngrams_url“：”https://api.openalex.org/works/W3137956598/ngrams网站“，”“abstract_inverted_index”：{“状态”：[0]，“估计”：[1,57,74,85166203]，“是”：[2131168199224]，“广泛”：[3]，“使用”：[4]，”in“：[5,26,64139183243]，“各种”：[6]，“自动化”：[7]，“系统”：[8,11,13]，“包括”：[9,87]，“物联网”：[10]，“无人”：[12]，“机器人”：[14]，等等：[15106]，“in”：[16]，“traditional”：[17]，“State”：[18,56,73,84165202244]，“估计，“：[19]，”测量“：[20,48]，”数据“：[21,50]，”是“：[22119154186]，”瞬时“：[23]，”和“：[24,37,40,75109151188194206215]，”处理“：[25]，“实际”：[27]，”时间。“：[28]，”With“：[29]，”modern“：[30]，”systems\u2019“：[31]，”development“，”：[32]，”sensors“：[33]，”can“：[34114229]，“get”：[35135]，“more”：[36,38209]，，“signals”：[39]，“store”：[41]，“them”。“：[42]，”“因此，”：[43]，“如何”：[44]，“到”：[45,51134]，“使用”：[46]，“这些”：[47]，“大”：[49]，“改进”：[52]，“the”：[53,70,82,88,93146159175237]，“performance”：[54]，“of”：[55,72143163212221]，“has”：[58]，“become”：[59]，“a”：[60208231]，”hot“research”：[61]62161177204]，“issue”：[63]，“this”：[65]，“字段。“：[66]，“This”：[67197]，“paper”：[68198]，“reviews”：[69]，“development”：[71,77239]，“future”：[76238]，“trends”。“：[78]，”第一，“：[79]，”我们“：[80]，”审查“：[81]，”基于模型“：[83192]，”方法“：[86]，”卡尔曼“：[89,95,99103]，”过滤器“：[90]，”例如“：[91]，”如“：[92]，”扩展“：[94]，”筛选器“：[96100104]，”“（CKF），”：[105]，“粒子”：[107]，“滤波器”：[108112153181]，“高斯”：[110117]，“混合物”：[111]，““：[113227]，”句柄“：[115]，”混合“：[116]，”噪声“：[118]，”讨论“：[120189]，”也。“：[121]，”These“：[122]，”methods“：[123167193]，”have“：[124230]，”high“：[125]，”requirements“：[126]，”for“：[127179241]，”models，“：[128]，”while“：[129]，”it“：[130235]，”not“：/132]，”easy“：%133]，”accurate“：[136]，”system“：+137]，”models“：%138]，”practice。“：[140]，“The”：[141218]，“emergency”：[142]，“robust”：[144]，“filters”：[145]，“interacting”：[147]，“multiple”：[148]，“model”：[149]，“（IMM），”：[150]，“adaptive”：[152]，“also”：%155]，“remoted”：[156]，“here”。“：[157]，”第二，“：[158]，”当前“：[160]，”状态“：[162]，”数据驱动“：[164195]，”引入“：[169]，”基于“：[170200]，”on“：[171201]，”网络“：[172]，”学习。“：[173]，”最终“：[174]，”主要“：[176219]，”结果“：[178205]，”杂交“：[180]，”获得“：[182]，”最近“：[184]，”年份“：[185]，”总结“：[187]，”其中“：[190]，”结合“：[191]，”方法。“：[196]，”提供“：[207]，”详细“：[210]，”概述“：[211]，”模型驱动“，：[213]，”数据驱动“，“：[214]，”混合驱动“：[216]，”方法。“：[217]，”算法“：[220]，”每个“：[222]，”方法“：[223]，”提供“：[225]，”so“：[226]，”初学者“：[228]，”更清晰“：[232]，”理解。“：[233]，”此外，“：[234]，”讨论“：[236]，”趋势“：[240]，”研究人员“：[242]，”估计。“：[245]}，”cited_by_api_url“：”https://api.openalex.org/works？filter=cites:W3137956598“，”counts_by_year“：[{”year“:2024，”cited_by_count“：7}，{”年“：2023，”ciped_by_cunt“：20}，”{“year”：2022，“cited_by_count”：18}，“{”年份“：2021，”citted_by_count：20}]，”updated_date“：”2024-06-23T20:16:26.376298“，”created_dated“：”2011-03-29“}”