{"id":"https://openalex.org/W2906750787","doi":"https://doi.org/10.1109/icarcv.2018.8581364","title":"Sampled-Data Control for Optimal Gain Margin of Cart Inverted Pendulum System: Comparison with Continuous-Time Control","display_name":"Sampled-Data Control for Optimal Gain Margin of Cart Inverted Pendulum System: Comparison with Continuous-Time Control","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2906750787","doi":"https://doi.org/10.1109/icarcv.2018.8581364","mag":"2906750787"},"language":"en","primary_location":{"id":"doi:10.1109/icarcv.2018.8581364","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv.2018.8581364","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV)","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/A5101146588","display_name":"Sananda Chatterjee","orcid":null},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Sananda Chatterjee","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Technology, Kharagpur, India"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology, Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060859760","display_name":"Sarit K. Das","orcid":"https://orcid.org/0000-0002-9168-2005"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sarit K. Das","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Technology, Kharagpur, India"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology, Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101146588"],"corresponding_institution_ids":["https://openalex.org/I145894827"],"apc_list":null,"apc_paid":null,"fwci":0.437,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.84554971,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"47","issue":null,"first_page":"1153","last_page":"1157"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10346","display_name":"Magnetic confinement fusion research","score":0.9908000230789185,"subfield":{"id":"https://openalex.org/subfields/3106","display_name":"Nuclear and High Energy Physics"},"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/T10346","display_name":"Magnetic confinement fusion research","score":0.9908000230789185,"subfield":{"id":"https://openalex.org/subfields/3106","display_name":"Nuclear and High Energy Physics"},"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/T10305","display_name":"Power System Optimization and Stability","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11416","display_name":"Numerical methods for differential equations","score":0.986299991607666,"subfield":{"id":"https://openalex.org/subfields/2612","display_name":"Numerical Analysis"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/inverted-pendulum","display_name":"Inverted pendulum","score":0.710015058517456},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6155178546905518},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.6040326356887817},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.5708253383636475},{"id":"https://openalex.org/keywords/monotonic-function","display_name":"Monotonic function","score":0.5256194472312927},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5058414936065674},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.4176926612854004},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32293352484703064},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.32257765531539917},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2952190041542053},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2376459240913391},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11934444308280945},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.08565419912338257},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.07281506061553955}],"concepts":[{"id":"https://openalex.org/C192921069","wikidata":"https://www.wikidata.org/wiki/Q550134","display_name":"Inverted pendulum","level":3,"score":0.710015058517456},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6155178546905518},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.6040326356887817},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.5708253383636475},{"id":"https://openalex.org/C72169020","wikidata":"https://www.wikidata.org/wiki/Q194404","display_name":"Monotonic function","level":2,"score":0.5256194472312927},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5058414936065674},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.4176926612854004},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32293352484703064},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.32257765531539917},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2952190041542053},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2376459240913391},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11934444308280945},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.08565419912338257},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.07281506061553955},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","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/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icarcv.2018.8581364","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv.2018.8581364","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV)","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":15,"referenced_works":["https://openalex.org/W1545650522","https://openalex.org/W1547161517","https://openalex.org/W1965693045","https://openalex.org/W1979412198","https://openalex.org/W2009013352","https://openalex.org/W2079754469","https://openalex.org/W2100066261","https://openalex.org/W2144746008","https://openalex.org/W2160989584","https://openalex.org/W2375288174","https://openalex.org/W2809434250","https://openalex.org/W2986699428","https://openalex.org/W4298179518","https://openalex.org/W6752830560","https://openalex.org/W7005727325"],"related_works":["https://openalex.org/W962423920","https://openalex.org/W2387968248","https://openalex.org/W2350715914","https://openalex.org/W2077314575","https://openalex.org/W2101175215","https://openalex.org/W2379529020","https://openalex.org/W2120821724","https://openalex.org/W2893549521","https://openalex.org/W4315701745","https://openalex.org/W2598699656"],"abstract_inverted_index":{"Seeking":[0],"to":[1,40,63,96,99],"robustly":[2],"stabilize":[3],"the":[4,9,28,55,74,80,86,101],"cart-inverted-pendulum":[5],"(CIP)":[6],"system":[7],"in":[8,47,68],"discrete":[10],"domain,":[11],"this":[12,109],"paper":[13],"first":[14],"obtains,":[15],"via":[16,45],"an":[17],"iterative":[18],"approach":[19],"for":[20,108],"a":[21,32],"sampling":[22],"rate":[23],"<tex":[24,69,76],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[25,70,77],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$T$</tex>":[26,71,78],",":[27],"controller":[29,83],"that":[30,37,84],"achieves":[31],"multiloop":[33],"gain":[34,57,87],"margin":[35,88],"optimization":[36],"is":[38,89,94,113],"analogous":[39],"what":[41,50,100],"has":[42,116],"been":[43,118],"achieved":[44],"continuous-domain":[46,103],"[13].":[48],"Unlike":[49],"may":[51],"be":[52,97],"expected,":[53],"however,":[54],"optimal":[56,75,102],"margins":[58],"obtained":[59],"are":[60],"not":[61],"found":[62,95],"improve":[64],"monotonically":[65],"with":[66],"reduction":[67],".":[72],"Consequently":[73],"and":[79],"corresponding":[81],"discrete-domain":[82],"maximizes":[85],"obtained.":[90],"The":[91],"same,":[92],"moreover,":[93],"superior":[98],"design":[104],"yields.":[105],"An":[106],"explanation":[107],"counter":[110],"intuitive":[111],"observation":[112],"provided.":[114],"This":[115],"also":[117],"verified":[119],"using":[120],"physical":[121],"implementation.":[122]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}