{"doi":"10.1109/icsmc.1990.142142","title":"State feedback effects in fuzzy logic control: a fuzzy modeling approach","abstract":null,"journal":"1990 IEEE International Conference on Systems, Man, and Cybernetics Conference Proceedings","year":null,"id":644728,"datarank":0.1530700023736546,"base_score":0.6931471805599453,"endowment":0.6931471805599453,"self_citation_contribution":0.10397207708399181,"citation_network_contribution":0.04909792528966279,"self_endowment_contribution":0.10397207708399181,"citer_contribution":0.04909792528966279,"corpus_percentile":null,"corpus_rank":null,"citation_count":1,"citer_count":1,"citers_with_citation_signal":1,"citers_with_endowment":1,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":901409,"name":"Y.-Y. Chen","orcid":null,"position":1,"is_corresponding":false},{"id":1678323,"name":"J.-S. Jang","orcid":null,"position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"State feedback effects in fuzzy logic control: a fuzzy modeling approach","abstract":"Fuzzy set theory and the fuzzy logic controller are reviewed. A fuzzy modeling algorithm that can construct a set of fuzzy linguistic rules to imitate the behavior of a state feedback and/or PID controller is presented. The outputs of both the fuzzy and the state feedback schemes are displayed as 3-D diagrams and the mean square error is minimized over the parameter beta . Three properties of the proposed algorithm and its extensions to the n-variable case and to the PID controller are presented. An inverted pendulum system is used to compare the performance of the two control schemes. It is concluded that a fuzzy controller should be able to achieve a performance at least as good as that of a state feedback controller, if property designed.>","is_dataset_classified":null,"base_score":0.6931471805599453,"endowment":0.6931471805599453,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"19910364","pmcid":null,"openalex_id":"https://openalex.org/W2129528848","authors":[],"funders":[],"total_grants":0,"fwci":0.0,"citation_percentile":0.22435956,"influential_citations":0,"citation_trend":[],"oa_status":"closed","license":null,"oa_locations":[{"url":"https://doi.org/10.1109/icsmc.1990.142142","host_type":""}],"fields_of_study":["Fuzzy Logic and Control Systems","Neural Networks and Applications","Advanced Data Processing Techniques"],"mesh_terms":[],"keywords":["Fuzzy logic","Control theory (sociology)","Controller (irrigation)","PID controller","Computer science","Fuzzy control system","Inverted pendulum","State (computer science)","Fuzzy set operations","Set (abstract data type)","Fuzzy number","Neuro-fuzzy","Defuzzification","Fuzzy set","Mathematics","Control engineering","Artificial intelligence","Control (management)","Algorithm","Engineering","Temperature control"],"sdg_mappings":[],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-09T01:56:59.020243Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}