{"id":"https://openalex.org/W2150337823","doi":"https://doi.org/10.1109/acc.2013.6580809","title":"State estimation of fast-rate systems using slow-rate image sensors","display_name":"State estimation of fast-rate systems using slow-rate image sensors","publication_year":2013,"publication_date":"2013-06-01","ids":{"openalex":"https://openalex.org/W2150337823","doi":"https://doi.org/10.1109/acc.2013.6580809","mag":"2150337823"},"language":"en","primary_location":{"id":"doi:10.1109/acc.2013.6580809","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acc.2013.6580809","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 American Control Conference","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/A5019764202","display_name":"Jacopo Tani","orcid":"https://orcid.org/0000-0001-7419-4352"},"institutions":[{"id":"https://openalex.org/I165799507","display_name":"Rensselaer Polytechnic Institute","ror":"https://ror.org/01rtyzb94","country_code":"US","type":"education","lineage":["https://openalex.org/I165799507"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jacopo Tani","raw_affiliation_strings":["Rensselaer Polytechnic Institute, Troy, NY, US"],"affiliations":[{"raw_affiliation_string":"Rensselaer Polytechnic Institute, Troy, NY, US","institution_ids":["https://openalex.org/I165799507"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083812959","display_name":"Sandipan Mishra","orcid":"https://orcid.org/0000-0001-6187-9221"},"institutions":[{"id":"https://openalex.org/I165799507","display_name":"Rensselaer Polytechnic Institute","ror":"https://ror.org/01rtyzb94","country_code":"US","type":"education","lineage":["https://openalex.org/I165799507"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sandipan Mishra","raw_affiliation_strings":["Rensselaer Polytechnic Institute, Troy, NY, US"],"affiliations":[{"raw_affiliation_string":"Rensselaer Polytechnic Institute, Troy, NY, US","institution_ids":["https://openalex.org/I165799507"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074830403","display_name":"John T. Wen","orcid":"https://orcid.org/0000-0002-5123-5411"},"institutions":[{"id":"https://openalex.org/I165799507","display_name":"Rensselaer Polytechnic Institute","ror":"https://ror.org/01rtyzb94","country_code":"US","type":"education","lineage":["https://openalex.org/I165799507"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John Wen","raw_affiliation_strings":["Rensselaer Polytechnic Institute, Troy, NY, US"],"affiliations":[{"raw_affiliation_string":"Rensselaer Polytechnic Institute, Troy, NY, US","institution_ids":["https://openalex.org/I165799507"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5019764202"],"corresponding_institution_ids":["https://openalex.org/I165799507"],"apc_list":null,"apc_paid":null,"fwci":0.6612,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.71870591,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"17","issue":null,"first_page":"6193","last_page":"6198"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11484","display_name":"Adaptive optics and wavefront sensing","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11484","display_name":"Adaptive optics and wavefront sensing","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9894999861717224,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/image-sensor","display_name":"Image sensor","score":0.6962429881095886},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6672264337539673},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5440345406532288},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49829626083374023},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4889465570449829},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4783365726470947},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.3767147362232208}],"concepts":[{"id":"https://openalex.org/C76935873","wikidata":"https://www.wikidata.org/wiki/Q209121","display_name":"Image sensor","level":2,"score":0.6962429881095886},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6672264337539673},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5440345406532288},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49829626083374023},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4889465570449829},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4783365726470947},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3767147362232208},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acc.2013.6580809","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acc.2013.6580809","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 American Control Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.4699999988079071,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W16778202","https://openalex.org/W1966376038","https://openalex.org/W2004703546","https://openalex.org/W2010212367","https://openalex.org/W2010464357","https://openalex.org/W2015841828","https://openalex.org/W2032557892","https://openalex.org/W2039733969","https://openalex.org/W2043660082","https://openalex.org/W2054276375","https://openalex.org/W2126328920","https://openalex.org/W2133548135","https://openalex.org/W2149479098"],"related_works":["https://openalex.org/W2085033728","https://openalex.org/W4285411112","https://openalex.org/W2171299904","https://openalex.org/W1647606319","https://openalex.org/W2922442631","https://openalex.org/W2944239605","https://openalex.org/W1873415836","https://openalex.org/W4200290804","https://openalex.org/W2139783875","https://openalex.org/W4312469487"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"algorithms":[3,117],"for":[4,92,153],"state":[5,89,154],"estimation":[6,90,101,116,155],"of":[7,48,123],"adaptive":[8],"optics":[9],"(AO)":[10],"systems":[11],"with":[12],"fast-rate":[13,133],"actuators":[14],"and":[15,114,137,149],"slow-rate":[16,25,139],"image":[17,26,43,65,140],"sensors.":[18],"Typically,":[19],"the":[20,29,34,42,46,64,88,93,120,124,145],"information":[21,39,59],"obtained":[22],"from":[23,60,81,103],"these":[24,61],"sensors":[27],"is":[28,52,67,78,96],"time-averaged":[30],"output":[31,106],"measurement":[32,44],"during":[33],"exposure":[35],"time.":[36],"The":[37,74],"additional":[38],"available":[40],"in":[41,158],"(in":[45],"form":[47],"an":[49,70],"intensity":[50,72,76],"distribution)":[51],"discarded.":[53],"In":[54],"order":[55],"to":[56,84],"fully":[57],"extract":[58],"blurry":[62],"measurements,":[63],"sensor":[66,77,127,141,147],"modeled":[68],"as":[69],"integrative":[71,75,126,146],"sensor.":[73],"a":[79,99,104,132,138],"transform":[80],"temporal":[82],"outputs":[83],"pixel-domain":[85],"measurements.":[86],"Thus,":[87],"problem":[91,102],"AO":[94],"system":[95],"recast":[97],"into":[98],"multi-rate":[100],"non-linear":[105,125],"measurement.":[107],"Based":[108],"on":[109,131],"this":[110],"formulation,":[111],"we":[112],"propose":[113],"compare":[115],"that":[118,143],"exploit":[119],"unique":[121],"properties":[122],"model.":[128],"Experimental":[129],"results":[130],"beam":[134],"steering":[135],"mirror":[136],"verify":[142],"using":[144],"model":[148],"exploiting":[150],"its":[151],"structure":[152],"can":[156],"result":[157],"lower":[159],"prediction":[160],"error.":[161]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}