{"id":"W2154455748","doi":"10.1109/robot.1994.351415","title":"Adaptive motion control of rigid-link electrically-driven robot manipulators","year":2002,"lang":"en","type":"article","venue":"","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Adaptive control; Control theory (sociology); Controller (irrigation); Robot; Lyapunov function; Inertial frame of reference; Actuator; Computer science; Link (geometry); Stability (learning theory); Tracking (education); Robotics; Exponential stability; Motion control; Control engineering; Control (management); Artificial intelligence; Engineering; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001622827,0.0002960974,0.0001540775,0.000112241,0.0001612333,0.0002348439,0.0004118127,0.000333784,0.0007762856],"category_scores_gemma":[0.0004615537,0.0001170927,0.0001569229,0.00009238192,0.0002836878,0.000216884,0.000270105,0.0002475062,0.0001868529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001120125,"about_ca_system_score_gemma":0.0001464796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003960276,"about_ca_topic_score_gemma":0.0005112786,"domain_scores_codex":[0.9998955,0.00002483198,0.000005350969,0.00002371293,0.00004130169,0.000009372249],"domain_scores_gemma":[0.9998773,0.00004104999,0.00003594813,0.000009810255,0.00003012167,0.00000559666],"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":[0.0001639269,0.0000538543,0.0006064777,0.0002450825,0.00005700942,0.000305047,0.0002040325,0.635426,0.2060664,0.02413154,0.0007350679,0.1320055],"study_design_scores_gemma":[0.00002887926,0.0002815784,0.0007983592,0.00002068639,0.00001616441,0.0001389471,0.00003139541,0.9699267,0.01641738,0.005784528,0.006535021,0.00002038077],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06313286,0.0005241945,0.9303613,0.0001043952,0.00007097422,0.0000313269,0.00001521719,0.0001507861,0.005608966],"genre_scores_gemma":[0.9516001,0.0004278577,0.04282173,0.00007413146,0.00005145328,0.00007014209,0.00003104704,0.00001411189,0.004909344],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0007762856,"threshold_uncertainty_score":0.002596974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02037197107384535,"score_gpt":0.1956405694792274,"score_spread":0.1752685984053821,"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."}}