{"id":"https://openalex.org/W2787267528","doi":"https://doi.org/10.1109/ascc.2017.8287418","title":"Generalized predictive control of DEAP actuator based on RBF","display_name":"Generalized predictive control of DEAP actuator based on RBF","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2787267528","doi":"https://doi.org/10.1109/ascc.2017.8287418","mag":"2787267528"},"language":"en","primary_location":{"id":"doi:10.1109/ascc.2017.8287418","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ascc.2017.8287418","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 11th Asian Control Conference (ASCC)","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/A5096661919","display_name":"Neural Network","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Neural Network","raw_affiliation_strings":["School of Automation, Beijing Institute of Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Beijing Institute of Technology, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056986841","display_name":"Zhaoguo Jiang","orcid":"https://orcid.org/0000-0002-2937-938X"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoguo Jiang","raw_affiliation_strings":["School of Automation, Beijing Institute of Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Beijing Institute of Technology, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101913668","display_name":"Qinglin Wang","orcid":"https://orcid.org/0000-0002-4007-0586"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinglin Wang","raw_affiliation_strings":["Beijing Institute of Technology, Beijing, Beijing, CN","School of Automation, Beijing Institute of Technology, China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, Beijing, Beijing, CN","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"School of Automation, Beijing Institute of Technology, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100604315","display_name":"Yuan Li","orcid":"https://orcid.org/0000-0001-8040-3392"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Li","raw_affiliation_strings":["School of Automation, Beijing Institute of Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Beijing Institute of Technology, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5096661919"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2431907,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"36","issue":null,"first_page":"1632","last_page":"1637"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14474","display_name":"Industrial Technology and Control Systems","score":0.9904000163078308,"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/T14474","display_name":"Industrial Technology and Control Systems","score":0.9904000163078308,"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/T11749","display_name":"Iterative Learning Control Systems","score":0.9779000282287598,"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/T11525","display_name":"Piezoelectric Actuators and Control","score":0.9695000052452087,"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/model-predictive-control","display_name":"Model predictive control","score":0.8347235321998596},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.7468749284744263},{"id":"https://openalex.org/keywords/actuator","display_name":"Actuator","score":0.7236511707305908},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6731991767883301},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5363755226135254},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5280462503433228},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5042322874069214},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.3236180543899536},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26613783836364746},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.2028922736644745},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17811349034309387},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.05576372146606445}],"concepts":[{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.8347235321998596},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.7468749284744263},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.7236511707305908},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6731991767883301},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5363755226135254},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5280462503433228},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5042322874069214},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.3236180543899536},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26613783836364746},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.2028922736644745},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17811349034309387},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.05576372146606445},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ascc.2017.8287418","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ascc.2017.8287418","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 11th Asian Control Conference (ASCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.5}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1981407883","https://openalex.org/W1985472724","https://openalex.org/W1989811785","https://openalex.org/W1996153600","https://openalex.org/W2005257022","https://openalex.org/W2062664276","https://openalex.org/W2111643434","https://openalex.org/W2113442785","https://openalex.org/W2202051651","https://openalex.org/W2383709692","https://openalex.org/W2507917832","https://openalex.org/W2541911064","https://openalex.org/W2569524200","https://openalex.org/W2610668184","https://openalex.org/W2631667371","https://openalex.org/W6737328223"],"related_works":["https://openalex.org/W1990079087","https://openalex.org/W2060165215","https://openalex.org/W2101188133","https://openalex.org/W3202234113","https://openalex.org/W4248731570","https://openalex.org/W2320869598","https://openalex.org/W2381210024","https://openalex.org/W4229591372","https://openalex.org/W4234906596","https://openalex.org/W2071544734"],"abstract_inverted_index":{"Dielectric":[0],"Electro-active":[1],"Polymer":[2],"(DEAP)":[3],"materials":[4],"generally":[5],"have":[6],"strong":[7],"hysteresis,":[8],"nonlinearities,":[9],"and":[10,69],"uncertainties,":[11],"these":[12],"characteristics":[13,37],"making":[14],"the":[15,51,60,76,81,94],"effective":[16],"control":[17,26,54,62,98],"of":[18,38,63,86],"its":[19],"actuators":[20],"quite":[21],"difficult.":[22],"A":[23],"generalized":[24,52,96],"predictive":[25,53,61,97],"strategy":[27,55],"based":[28],"on":[29],"RBF":[30,45],"neural":[31,46],"network":[32],"was":[33],"proposed.":[34],"The":[35],"nonlinear":[36],"a":[39],"DEAP":[40,64,87],"actuator":[41,65],"are":[42],"approximated":[43],"by":[44,84],"network.":[47],"On":[48],"this":[49],"basis,":[50],"is":[56],"adopted":[57],"to":[58],"achieve":[59],"via":[66],"rolling":[67],"optimization":[68],"feedback":[70],"adjustment.":[71],"Simulation":[72],"results":[73],"indicate":[74],"that":[75],"proposed":[77],"method":[78],"can":[79],"weaken":[80],"interference":[82],"caused":[83],"nonlinearities":[85],"materials,":[88],"has":[89],"adaptability,":[90],"robustness":[91],"compared":[92],"with":[93],"traditional":[95],"approach.":[99]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
