{"id":"W3088747293","doi":"10.1049/iet-cta.2019.1302","title":"Fractional‐order adaptive non‐singular fast terminal sliding mode control with time delay estimation for robotic manipulators","year":2020,"lang":"en","type":"article","venue":"IET Control Theory and Applications","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Control theory (sociology); Terminal sliding mode; Robot manipulator; Terminal (telecommunication); Adaptive control; Computer science; Sliding mode control; Control (management); Nonlinear system; 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":[0.0002425596,0.0004010587,0.0002960062,0.0002116657,0.0002710616,0.0003213201,0.0004311705,0.0003957477,0.0005881641],"category_scores_gemma":[0.0004589075,0.0001316811,0.0003380313,0.0001999481,0.000384837,0.0003306117,0.0002604761,0.000342192,0.00006976923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002593266,"about_ca_system_score_gemma":0.0003595635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002307366,"about_ca_topic_score_gemma":0.001504141,"domain_scores_codex":[0.9998767,0.00002056981,0.000008520854,0.00003115729,0.00004919582,0.00001386949],"domain_scores_gemma":[0.9998744,0.00004193453,0.00002959233,0.00001350359,0.00003372672,0.000006944739],"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":[0.0002552813,0.00008373514,0.001052963,0.0003107434,0.00007828993,0.0003061069,0.0002976988,0.7287008,0.09144138,0.01726465,0.0008563274,0.1593521],"study_design_scores_gemma":[0.00001034915,0.0001001247,0.0002880858,0.000005394438,0.000006505358,0.00002712265,0.00000827939,0.9950865,0.002737607,0.0008505695,0.0008732746,0.000006240482],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.065861,0.0006679032,0.9306289,0.0001015199,0.00009311045,0.00002301551,0.00001031712,0.0001724468,0.002441875],"genre_scores_gemma":[0.9699318,0.000262579,0.02770808,0.00002699173,0.00002741007,0.000036485,0.000019281,0.000006449517,0.001980894],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002307366,"threshold_uncertainty_score":0.004587829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008919121448748277,"score_gpt":0.2267435877966256,"score_spread":0.2178244663478773,"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."}}