{"id":"W2115000265","doi":"10.1109/icsmc.1995.538443","title":"Adaptive and sliding control of flexible joint robots in constrained motion","year":2002,"lang":"en","type":"article","venue":"","topic":"Dynamics and Control of Mechanical Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Control theory (sociology); Controller (irrigation); Flexibility (engineering); Lyapunov stability; Motion control; Adaptive control; Robot; Lyapunov function; Computer science; Stability (learning theory); Torque; Joint (building); Motion (physics); Control engineering; Mathematics; Engineering; Control (management); Artificial intelligence; Nonlinear system; 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":[0.0002149533,0.0003758295,0.0002788164,0.0001535151,0.0002720252,0.000282333,0.0004051093,0.0002869537,0.0006774525],"category_scores_gemma":[0.0005520965,0.0001552535,0.0002281127,0.0001380737,0.0004954216,0.0003445338,0.000490841,0.0002462378,0.0000682019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001592605,"about_ca_system_score_gemma":0.0002122692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003195846,"about_ca_topic_score_gemma":0.002272575,"domain_scores_codex":[0.9999081,0.00002017858,0.000005816638,0.00002008949,0.00003242383,0.00001333489],"domain_scores_gemma":[0.9998705,0.00005035682,0.00003048345,0.00001166998,0.0000250894,0.00001182462],"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":[0.0002038511,0.00005015066,0.0005072603,0.0001384115,0.00005415814,0.0003418281,0.0002612412,0.8232749,0.05579185,0.0244626,0.0005717123,0.09434216],"study_design_scores_gemma":[0.00001922848,0.0001028711,0.0002940502,0.000004673857,0.000006053996,0.00001997263,0.00001222404,0.9931452,0.002099337,0.003478549,0.0008112167,0.000006558178],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1413776,0.0005013963,0.8537214,0.00008733259,0.00005860862,0.00003780475,0.0000142543,0.0002053176,0.003996281],"genre_scores_gemma":[0.9846542,0.0001207929,0.01388716,0.00001456123,0.0000134104,0.0000377172,0.00001056453,0.000006360494,0.001255315],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003195846,"threshold_uncertainty_score":0.006354511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01753619345007559,"score_gpt":0.1793163575105743,"score_spread":0.1617801640604987,"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."}}