{"id":"W2158161185","doi":"10.1115/1.2431813","title":"Adaptive Control of Harmonic Drives","year":2006,"lang":"en","type":"article","venue":"Journal of Dynamic Systems Measurement and Control","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Space Agency","funders":"","keywords":"Control theory (sociology); Harmonic drive; Torque; Controller (irrigation); Adaptive control; Harmonic; Motion control; Stability (learning theory); Joint (building); Robot; Control engineering; Position (finance); Computer science; 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":[0.0001277681,0.0001996608,0.0001562104,0.0001495601,0.0001721457,0.0002741842,0.0003351322,0.0001479116,0.0008719126],"category_scores_gemma":[0.0003580877,0.00007311672,0.00009630626,0.000105889,0.0002069147,0.0001303336,0.0002824361,0.0002396195,0.0001607917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001643095,"about_ca_system_score_gemma":0.0001413574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009020116,"about_ca_topic_score_gemma":0.001021806,"domain_scores_codex":[0.9999257,0.00001023088,0.00000340001,0.0000175204,0.00003239535,0.00001064701],"domain_scores_gemma":[0.9998986,0.00003250287,0.00001782739,0.00001064418,0.00003403333,0.000006307167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002712461,0.00008350192,0.001153842,0.000268688,0.00004288901,0.0001848681,0.0002841943,0.2625638,0.2313212,0.02678872,0.002639318,0.4743978],"study_design_scores_gemma":[0.00002556659,0.0001552932,0.0009320026,0.00000902212,0.000008519095,0.00007868344,0.00002296955,0.9716564,0.01777273,0.003574413,0.00574971,0.0000147058],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07062372,0.0003796551,0.9204125,0.00007711726,0.00007893483,0.00003018421,0.00001766504,0.0004015785,0.007978681],"genre_scores_gemma":[0.967564,0.0001353339,0.02893099,0.00002954152,0.0000275073,0.00003556476,0.00001905019,0.00001382884,0.003244149],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0009020116,"threshold_uncertainty_score":0.002916873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01028385736959621,"score_gpt":0.1857994182990754,"score_spread":0.1755155609294792,"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."}}