{"id":"W3044446761","doi":"10.1186/s13662-020-02829-0","title":"Adaptive control realization for canonic Caputo fractional-order systems with actuator nonlinearity: application to mechatronic devices","year":2020,"lang":"en","type":"article","venue":"Advances in Difference Equations","topic":"Advanced Control Systems Design","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Control theory (sociology); Mechatronics; Nonlinear system; Backlash; Actuator; Control engineering; Controller (irrigation); Adaptive control; Realization (probability); Control system; Computer science; Mathematics; Engineering; Control (management); Artificial intelligence; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002765075,0.0003902201,0.0002687013,0.0002084585,0.0004409846,0.0004936488,0.0003920504,0.0005098964,0.00103546],"category_scores_gemma":[0.0004703586,0.0001003472,0.0003343704,0.0001880216,0.0004882439,0.000221462,0.0003742995,0.0004326196,0.00007296892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004226589,"about_ca_system_score_gemma":0.000304844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003886892,"about_ca_topic_score_gemma":0.002096338,"domain_scores_codex":[0.9998938,0.0000221712,0.000007751846,0.00002258418,0.00003919652,0.00001443242],"domain_scores_gemma":[0.9998683,0.00005151958,0.00002770725,0.00001325826,0.00003189647,0.000007336097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000171108,0.00008046781,0.0007262091,0.0003116704,0.00006083641,0.0005433798,0.0005169366,0.7879308,0.07223303,0.05947837,0.001056811,0.07689036],"study_design_scores_gemma":[0.000008433492,0.00007459929,0.0001649898,0.000005989978,0.000006941092,0.00001914108,0.00001412616,0.994693,0.002175197,0.001872302,0.0009595223,0.000005896105],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08988392,0.0004982596,0.8987219,0.0003085221,0.0001708502,0.00005359894,0.00002124959,0.0002615378,0.01008024],"genre_scores_gemma":[0.985067,0.0001060011,0.0135168,0.00002802085,0.00001595186,0.00003738,0.00001039223,0.000003842712,0.001214633],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003886892,"threshold_uncertainty_score":0.007728517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01419670153405766,"score_gpt":0.2503562358364345,"score_spread":0.2361595343023768,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}