{"id":"https://openalex.org/W2972419371","doi":"https://doi.org/10.23919/acc.2019.8815098","title":"Piecewise Affine System Identification by Exploiting Sparsity in Tight-Dimensional Spaces","display_name":"Piecewise Affine System Identification by Exploiting Sparsity in Tight-Dimensional Spaces","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2972419371","doi":"https://doi.org/10.23919/acc.2019.8815098","mag":"2972419371"},"language":"en","primary_location":{"id":"doi:10.23919/acc.2019.8815098","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc.2019.8815098","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 American Control Conference (ACC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5022358441","display_name":"Hiroki Kuroda","orcid":"https://orcid.org/0000-0002-8093-3219"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]},{"id":"https://openalex.org/I90023481","display_name":"National Institute of Information and Communications Technology","ror":"https://ror.org/016bgq349","country_code":"JP","type":"facility","lineage":["https://openalex.org/I90023481"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroki Kuroda","raw_affiliation_strings":["Department of Information and Communications Engineering, Tokyo Institute of Technology, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and Communications Engineering, Tokyo Institute of Technology, Tokyo, Japan","institution_ids":["https://openalex.org/I114531698","https://openalex.org/I90023481"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102929443","display_name":"Masao Yamagishi","orcid":"https://orcid.org/0000-0002-5371-3536"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]},{"id":"https://openalex.org/I90023481","display_name":"National Institute of Information and Communications Technology","ror":"https://ror.org/016bgq349","country_code":"JP","type":"facility","lineage":["https://openalex.org/I90023481"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masao Yamagishi","raw_affiliation_strings":["Department of Information and Communications Engineering, Tokyo Institute of Technology, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and Communications Engineering, Tokyo Institute of Technology, Tokyo, Japan","institution_ids":["https://openalex.org/I114531698","https://openalex.org/I90023481"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103022814","display_name":"Isao Yamada","orcid":"https://orcid.org/0000-0002-6563-7526"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]},{"id":"https://openalex.org/I90023481","display_name":"National Institute of Information and Communications Technology","ror":"https://ror.org/016bgq349","country_code":"JP","type":"facility","lineage":["https://openalex.org/I90023481"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Isao Yamada","raw_affiliation_strings":["Department of Information and Communications Engineering, Tokyo Institute of Technology, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and Communications Engineering, Tokyo Institute of Technology, Tokyo, Japan","institution_ids":["https://openalex.org/I114531698","https://openalex.org/I90023481"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11765213,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4356","last_page":"4361"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.9998999834060669,"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/T11236","display_name":"Control Systems and Identification","score":0.9998999834060669,"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9991999864578247,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/affine-transformation","display_name":"Affine transformation","score":0.7794499397277832},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.7538280487060547},{"id":"https://openalex.org/keywords/piecewise","display_name":"Piecewise","score":0.6058216094970703},{"id":"https://openalex.org/keywords/piecewise-linear-manifold","display_name":"Piecewise linear manifold","score":0.5963348746299744},{"id":"https://openalex.org/keywords/affine-combination","display_name":"Affine combination","score":0.5519227981567383},{"id":"https://openalex.org/keywords/piecewise-linear-function","display_name":"Piecewise linear function","score":0.5440728664398193},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.538671612739563},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5323270559310913},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5060362219810486},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4561521112918854},{"id":"https://openalex.org/keywords/affine-space","display_name":"Affine space","score":0.4147643446922302},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3894615173339844},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37023720145225525},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.15234500169754028},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.11243626475334167}],"concepts":[{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.7794499397277832},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.7538280487060547},{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.6058216094970703},{"id":"https://openalex.org/C184175843","wikidata":"https://www.wikidata.org/wiki/Q7191425","display_name":"Piecewise linear manifold","level":3,"score":0.5963348746299744},{"id":"https://openalex.org/C207221997","wikidata":"https://www.wikidata.org/wiki/Q938614","display_name":"Affine combination","level":3,"score":0.5519227981567383},{"id":"https://openalex.org/C17095337","wikidata":"https://www.wikidata.org/wiki/Q2375229","display_name":"Piecewise linear function","level":2,"score":0.5440728664398193},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.538671612739563},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5323270559310913},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5060362219810486},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4561521112918854},{"id":"https://openalex.org/C173110770","wikidata":"https://www.wikidata.org/wiki/Q382698","display_name":"Affine space","level":3,"score":0.4147643446922302},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3894615173339844},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37023720145225525},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.15234500169754028},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.11243626475334167},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/acc.2019.8815098","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc.2019.8815098","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 American Control Conference (ACC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1603536826","https://openalex.org/W1971912051","https://openalex.org/W1977918122","https://openalex.org/W1992283848","https://openalex.org/W1997272744","https://openalex.org/W1998991750","https://openalex.org/W2007093507","https://openalex.org/W2026693824","https://openalex.org/W2042543554","https://openalex.org/W2045079045","https://openalex.org/W2046562952","https://openalex.org/W2058532290","https://openalex.org/W2071769310","https://openalex.org/W2078204800","https://openalex.org/W2086306688","https://openalex.org/W2086706962","https://openalex.org/W2104266187","https://openalex.org/W2114423093","https://openalex.org/W2118237987","https://openalex.org/W2119667497","https://openalex.org/W2134939827","https://openalex.org/W2135046866","https://openalex.org/W2138353699","https://openalex.org/W2142211803","https://openalex.org/W2157963731","https://openalex.org/W2496790888","https://openalex.org/W2894649960","https://openalex.org/W2962781485"],"related_works":["https://openalex.org/W2619539882","https://openalex.org/W2043586353","https://openalex.org/W57070652","https://openalex.org/W4256576314","https://openalex.org/W1989138816","https://openalex.org/W2886522954","https://openalex.org/W2260494922","https://openalex.org/W4206180239","https://openalex.org/W2123941794","https://openalex.org/W4287745220"],"abstract_inverted_index":{"Identification":[0],"of":[1,13,51,67,84],"piecewise":[2,32,52,89],"affine":[3,33,53,90],"systems":[4],"has":[5],"been":[6],"a":[7,40,62],"major":[8],"challenge":[9],"in,":[10],"e.g.,":[11],"modeling":[12],"hybrid":[14],"systems.":[15,54],"In":[16],"this":[17],"paper,":[18],"we":[19,38],"present":[20],"an":[21],"idea":[22],"to":[23],"exploit":[24],"hidden":[25,47],"sparsity":[26,46,87],"in":[27,48,76],"tight-dimensional":[28,41],"representation":[29],"spaces":[30],"for":[31,88],"system":[34,91],"identification.":[35,92],"More":[36],"precisely,":[37],"propose":[39],"linear":[42,56],"transformation":[43,57],"which":[44],"reveals":[45],"output":[49,68],"signals":[50,69],"This":[55],"is":[58],"designed":[59],"by":[60],"applying":[61],"natural":[63],"observation":[64],"that":[65],"most":[66],"on":[70],"neighboring":[71],"data":[72],"points":[73],"are":[74],"contained":[75],"special":[77],"subspaces.":[78],"Numerical":[79],"examples":[80],"show":[81],"the":[82,85],"effectiveness":[83],"revealed":[86]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
