{"id":"https://openalex.org/W3186222108","doi":"https://doi.org/10.23919/acc50511.2021.9482654","title":"Linear Quadratic Tracking Control with Sparsity-Promoting Regularization","display_name":"Linear Quadratic Tracking Control with Sparsity-Promoting Regularization","publication_year":2021,"publication_date":"2021-05-25","ids":{"openalex":"https://openalex.org/W3186222108","doi":"https://doi.org/10.23919/acc50511.2021.9482654","mag":"3186222108"},"language":"en","primary_location":{"id":"doi:10.23919/acc50511.2021.9482654","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc50511.2021.9482654","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 American Control Conference (ACC)","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/A5100456087","display_name":"Zhicheng Zhang","orcid":"https://orcid.org/0000-0002-8686-6803"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Zhicheng Zhang","raw_affiliation_strings":["Graduate School of Information Science and Technology, Osaka University, Suita, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, Osaka University, Suita, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009815053","display_name":"Masaaki Nagahara","orcid":"https://orcid.org/0000-0002-8992-2495"},"institutions":[{"id":"https://openalex.org/I17056963","display_name":"The University of Kitakyushu","ror":"https://ror.org/03mfefw72","country_code":"JP","type":"education","lineage":["https://openalex.org/I17056963"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masaaki Nagahara","raw_affiliation_strings":["Institute of Environmental Science and Technology, The University of Kitakyushu, Fukuoka, Japan"],"affiliations":[{"raw_affiliation_string":"Institute of Environmental Science and Technology, The University of Kitakyushu, Fukuoka, Japan","institution_ids":["https://openalex.org/I17056963"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100456087"],"corresponding_institution_ids":["https://openalex.org/I98285908"],"apc_list":null,"apc_paid":null,"fwci":0.3503,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.53695585,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"3812","last_page":"3817"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T11205","display_name":"Numerical methods in inverse problems","score":0.9779999852180481,"subfield":{"id":"https://openalex.org/subfields/2610","display_name":"Mathematical Physics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10046","display_name":"Stability and Control of Uncertain Systems","score":0.9732999801635742,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.6138333082199097},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40441465377807617},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3906254172325134},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3203597366809845},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2618575692176819}],"concepts":[{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.6138333082199097},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40441465377807617},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3906254172325134},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3203597366809845},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2618575692176819}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/acc50511.2021.9482654","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc50511.2021.9482654","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 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":27,"referenced_works":["https://openalex.org/W416122618","https://openalex.org/W1526133808","https://openalex.org/W1583951446","https://openalex.org/W1598106025","https://openalex.org/W1866905757","https://openalex.org/W1979926917","https://openalex.org/W1985235885","https://openalex.org/W2014636557","https://openalex.org/W2054073213","https://openalex.org/W2094627939","https://openalex.org/W2113642685","https://openalex.org/W2138693236","https://openalex.org/W2143155151","https://openalex.org/W2192387711","https://openalex.org/W2288265752","https://openalex.org/W2289445478","https://openalex.org/W2426005664","https://openalex.org/W2461349235","https://openalex.org/W2484646121","https://openalex.org/W2749659129","https://openalex.org/W2886503255","https://openalex.org/W2898969097","https://openalex.org/W2963322354","https://openalex.org/W2979406038","https://openalex.org/W2989299710","https://openalex.org/W3047288644","https://openalex.org/W4240790602"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W4391375266","https://openalex.org/W1979597421","https://openalex.org/W2007980826","https://openalex.org/W2051487156","https://openalex.org/W2061531152","https://openalex.org/W3002753104","https://openalex.org/W2077600819","https://openalex.org/W2142036596","https://openalex.org/W2072657027"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,55],"propose":[4],"a":[5,30,82],"novel":[6],"linear":[7],"quadratic":[8],"tracking":[9],"control":[10,38,85],"with":[11,75,87],"sparsity":[12],"regularization":[13,23],"using":[14],"<i":[15,44,57,88],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[16,19,45,48,58,61,89,92],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">L</i>":[17,46,59],"<sup":[18,47,60,91],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">0</sup>":[20,49],"norm.":[21],"Sparsity":[22],"leads":[24],"to":[25,64,80],"sparse":[26],"control,":[27],"which":[28,36],"has":[29],"significant":[31],"length":[32],"of":[33,78,101,120],"time":[34],"over":[35],"the":[37,43,66,76,102,108,112,118,121],"is":[39,51,73],"exactly":[40],"zero.":[41],"Since":[42],"cost":[50],"non-convex":[52],"and":[53,111],"discontinuous,":[54],"introduce":[56],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sup>":[62,93],"relaxation":[63],"make":[65],"optimization":[67],"numerically":[68],"tractable.":[69],"The":[70],"numerical":[71],"solution":[72],"obtained":[74],"aid":[77],"time-discretization":[79],"derive":[81],"discrete-time":[83],"optimal":[84],"problem":[86],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">l</i>":[90],"regularization.":[94],"We":[95],"also":[96],"give":[97],"an":[98],"upper":[99],"bound":[100],"terminal":[103],"state":[104],"under":[105],"perturbations":[106],"in":[107],"initial":[109],"states":[110],"state-space":[113],"matrices.":[114],"Numerical":[115],"examples":[116],"illustrate":[117],"effectiveness":[119],"proposed":[122],"control.":[123]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}