{"id":"https://openalex.org/W2063124273","doi":"https://doi.org/10.1109/acc.2010.5531505","title":"Coverage control in an isotropic Gaussian mixture environment","display_name":"Coverage control in an isotropic Gaussian mixture environment","publication_year":2010,"publication_date":"2010-06-01","ids":{"openalex":"https://openalex.org/W2063124273","doi":"https://doi.org/10.1109/acc.2010.5531505","mag":"2063124273"},"language":"en","primary_location":{"id":"doi:10.1109/acc.2010.5531505","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acc.2010.5531505","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2010 American Control Conference","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/A5052534353","display_name":"Liang Du","orcid":"https://orcid.org/0000-0002-2663-0751"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Liang Du","raw_affiliation_strings":["School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","School of Electrical & Computer Engineering, Georgia Institute of Technology, Atlanta 30332, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"School of Electrical & Computer Engineering, Georgia Institute of Technology, Atlanta 30332, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035054120","display_name":"Wei Liu","orcid":"https://orcid.org/0000-0003-1285-2334"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei Liu","raw_affiliation_strings":["School of Industrial Engineering, Purdue University, West Lafayette, IN, USA","School of Industrial Engineering , Purdue University , West Lafayette, IN 47906 , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Industrial Engineering, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"School of Industrial Engineering , Purdue University , West Lafayette, IN 47906 , USA","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2891","last_page":"2896"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11498","display_name":"Security in Wireless Sensor Networks","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/gaussian","display_name":"Gaussian","score":0.7166857123374939},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.6814457178115845},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.6633510589599609},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.657209575176239},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.6370115876197815},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6318110823631287},{"id":"https://openalex.org/keywords/isotropy","display_name":"Isotropy","score":0.5469945669174194},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.5450563430786133},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4567807912826538},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.45119592547416687},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.43045687675476074},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3205321431159973},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25877684354782104},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1641419231891632},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13558989763259888}],"concepts":[{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.7166857123374939},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.6814457178115845},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.6633510589599609},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.657209575176239},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.6370115876197815},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6318110823631287},{"id":"https://openalex.org/C184050105","wikidata":"https://www.wikidata.org/wiki/Q273163","display_name":"Isotropy","level":2,"score":0.5469945669174194},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.5450563430786133},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4567807912826538},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.45119592547416687},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.43045687675476074},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3205321431159973},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25877684354782104},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1641419231891632},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13558989763259888},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/acc.2010.5531505","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acc.2010.5531505","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2010 American Control Conference","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.819.1441","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.819.1441","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.dcsc.tudelft.nl/%7Ebdeschutter/private_20100705_acc_2010/data/papers/1576.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1976698879","https://openalex.org/W2019238673","https://openalex.org/W2066580552","https://openalex.org/W2100430744","https://openalex.org/W2130403046","https://openalex.org/W2133486451","https://openalex.org/W2135792961","https://openalex.org/W2136773781","https://openalex.org/W2149259182","https://openalex.org/W2156434258","https://openalex.org/W2167485994","https://openalex.org/W2331533822"],"related_works":["https://openalex.org/W2566006169","https://openalex.org/W2770234245","https://openalex.org/W2987774938","https://openalex.org/W632915154","https://openalex.org/W4229499248","https://openalex.org/W4378874356","https://openalex.org/W2369811061","https://openalex.org/W3089997100","https://openalex.org/W1584605730","https://openalex.org/W4300509253"],"abstract_inverted_index":{"In":[0],"this":[1],"work":[2],"we":[3,90,102,123],"address":[4],"the":[5,34,37,80,88,92,107],"problem":[6],"of":[7,10,13,46,82,97,99,113,130],"coverage":[8],"control":[9],"a":[11,17,43,59,73,111,120],"group":[12,112],"mobile":[14],"sensors":[15,70,84,133],"in":[16,57,79,87],"convex":[18],"and":[19,67,75,94,127],"bounded":[20],"environment":[21],"which":[22],"is":[23,40],"subject":[24],"to":[25,71],"an":[26,104],"isotropic":[27],"Gaussian":[28],"mixture":[29],"(GM)":[30],"model.":[31],"We":[32,52],"consider":[33],"case":[35,81],"that":[36,56,118],"GM":[38],"model":[39],"introduced":[41],"by":[42,54],"known":[44],"number":[45],"information":[47],"sources":[48],"with":[49],"time-varying":[50],"locations.":[51],"show":[53],"examples":[55],"such":[58],"dynamic":[60],"environment,":[61,89],"it":[62],"may":[63],"not":[64],"be":[65],"possible":[66],"feasible":[68],"for":[69,110,132],"gain":[72],"nondecreasing":[74],"maximal":[76],"reward.":[77],"Instead,":[78],"allowing":[83],"act":[85],"autonomously":[86],"present":[91],"upper":[93,126],"lower":[95,128],"bound":[96],"rewards":[98,131],"sensors.":[100,114],"Finally,":[101],"give":[103],"algorithm":[105],"using":[106],"sweep-pursuit-capture":[108],"strategy":[109],"Our":[115],"result":[116],"shows":[117],"after":[119],"finite":[121],"time,":[122],"can":[124],"possess":[125],"bounds":[129],"at":[134],"each":[135],"time":[136],"step":[137],"before":[138],"their":[139],"next":[140],"deployment.":[141]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
