{"id":"https://openalex.org/W2106034555","doi":"https://doi.org/10.1109/fuzzy.2005.1452521","title":"Multi-Step-Ahead Prediction with Gaussian Processes and TS-Fuzzy Models","display_name":"Multi-Step-Ahead Prediction with Gaussian Processes and TS-Fuzzy Models","publication_year":2005,"publication_date":"2005-07-28","ids":{"openalex":"https://openalex.org/W2106034555","doi":"https://doi.org/10.1109/fuzzy.2005.1452521","mag":"2106034555"},"language":"en","primary_location":{"id":"doi:10.1109/fuzzy.2005.1452521","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2005.1452521","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 14th IEEE International Conference on Fuzzy Systems, 2005. FUZZ '05.","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/A5024471324","display_name":"Rainer Palm","orcid":null},"institutions":[{"id":"https://openalex.org/I26437253","display_name":"\u00d6rebro University","ror":"https://ror.org/05kytsw45","country_code":"SE","type":"education","lineage":["https://openalex.org/I26437253"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"R. Palm","raw_affiliation_strings":["AASS, \u00d6rebro University, Orebro, Sweden","\u00d6rebro University"],"affiliations":[{"raw_affiliation_string":"AASS, \u00d6rebro University, Orebro, Sweden","institution_ids":["https://openalex.org/I26437253"]},{"raw_affiliation_string":"\u00d6rebro University","institution_ids":["https://openalex.org/I26437253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5024471324"],"corresponding_institution_ids":["https://openalex.org/I26437253"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12077097,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"168","issue":null,"first_page":"945","last_page":"950"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10791","display_name":"Advanced Control Systems Optimization","score":0.9991000294685364,"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/T10791","display_name":"Advanced Control Systems Optimization","score":0.9991000294685364,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9988999962806702,"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/T14470","display_name":"Advanced Data Processing Techniques","score":0.9980000257492065,"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/trajectory","display_name":"Trajectory","score":0.6854804754257202},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.6241774559020996},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.622758686542511},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.5897502899169922},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5522680878639221},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5478931069374084},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.519871711730957},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.47956985235214233},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4530758559703827},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3486430048942566},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25838905572891235},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.221518874168396},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.22003835439682007}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6854804754257202},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.6241774559020996},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.622758686542511},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.5897502899169922},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5522680878639221},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5478931069374084},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.519871711730957},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.47956985235214233},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4530758559703827},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3486430048942566},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25838905572891235},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.221518874168396},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.22003835439682007},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzzy.2005.1452521","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2005.1452521","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 14th IEEE International Conference on Fuzzy Systems, 2005. FUZZ '05.","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":7,"referenced_works":["https://openalex.org/W2079325629","https://openalex.org/W2095966321","https://openalex.org/W2146920625","https://openalex.org/W2162977544","https://openalex.org/W2334018742","https://openalex.org/W2485312356","https://openalex.org/W6683686806"],"related_works":["https://openalex.org/W4323768008","https://openalex.org/W3131574667","https://openalex.org/W4248382324","https://openalex.org/W4360995134","https://openalex.org/W2387529410","https://openalex.org/W2039473718","https://openalex.org/W3023605104","https://openalex.org/W2383578611","https://openalex.org/W2169866437","https://openalex.org/W1964286703"],"abstract_inverted_index":{"Fuzzy":[0],"multiple":[1,172],"modeling":[2,11,20],"is":[3,24,41,88,121,140,168],"a":[4,25,89,171,183,191],"method":[5,29],"that":[6],"combines":[7],"analytical":[8],"and":[9,27,56,70,130,219],"black-box":[10],"in":[12,97,123,132,179,187],"an":[13],"optimal":[14],"way.":[15],"On":[16],"the":[17,32,35,38,67,79,95,106,117,128,133,136,145,152,157,162,166,204,208,213],"other":[18],"hand,":[19],"with":[21,52,200,212],"Gaussian":[22,220],"processes":[23],"probabilistic":[26],"non-parametric":[28],"which":[30,176],"allows":[31],"prediction":[33,65,87,93,165,211],"of":[34,37,42,109,127,197,207,215],"uncertainty":[36],"model.":[39],"This":[40],"advantage":[43],"for":[44,105,112,151,161,190],"one-step":[45,91],"ahead":[46,50,64,86,92,164,210],"or":[47],"even":[48],"multi-step":[49,63,85,163,209],"predictions":[51],"noisy":[53],"time":[54,147],"series":[55],"disturbed":[57],"closed":[58,113,188],"loop":[59,114,135,189],"control":[60,71,81,115,134,138,159,185],"systems.":[61],"The":[62],"assumes":[66],"previous":[68],"outputs":[69,96],"values":[72],"to":[73,144,181],"be":[74],"known":[75,122,142],"as":[76,78,103],"well":[77],"future":[80,153,158],"values.":[82],"A":[83],"\"naive\"":[84],"consecutive":[90,99],"whereas":[94],"each":[98],"step":[100,108,148],"are":[101],"considered":[102],"inputs":[104,160],"next":[107],"prediction.":[110],"Usually":[111],"systems":[116,199],"nominal":[118,184,193],"output":[119,194],"trajectory":[120,139,186],"advance.":[124],"However,":[125],"because":[126],"uncertainties":[129,202],"disturbances":[131],"resulting":[137],"only":[141],"up":[143],"present":[146],"but":[149],"not":[150],"steps.":[154],"To":[155],"obtain":[156],"system":[167],"modeled":[169],"by":[170],"TS":[173,216],"fuzzy":[174,217],"model":[175],"was":[177],"trained":[178],"advance":[180],"generate":[182],"given":[192],"trajectory.":[195],"Simulations":[196],"nonlinear":[198],"built-in":[201],"illustrate":[203],"good":[205],"performance":[206],"combination":[214],"models":[218,222],"process":[221]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
