{"id":"W2157968887","doi":"10.1109/med.2009.5164600","title":"Discrete-time decentralized neural backstepping controller for a five DOF robot manipulator","year":2009,"lang":"en","type":"article","venue":"","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Else Kröner-Fresenius-Stiftung","keywords":"Backstepping; Control theory (sociology); Trajectory; Computer science; Controller (irrigation); Scheme (mathematics); Extended Kalman filter; Block (permutation group theory); Artificial neural network; Kalman filter; Robot; Robot manipulator; Tracking (education); Control engineering; Adaptive control; Artificial intelligence; Control (management); Mathematics; Engineering","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":[0.0002366339,0.0002552859,0.0002099247,0.00009835211,0.000222494,0.0002111283,0.0004423662,0.0003299727,0.0008630287],"category_scores_gemma":[0.0003679838,0.0001003096,0.0001398698,0.0001218925,0.0002853829,0.0001793497,0.0002292161,0.0002783386,0.0001382946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002809099,"about_ca_system_score_gemma":0.000483495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003892395,"about_ca_topic_score_gemma":0.004484928,"domain_scores_codex":[0.9999182,0.00001573127,0.000004582088,0.00001766627,0.00003646026,0.00000733261],"domain_scores_gemma":[0.9998883,0.00002481961,0.00002468123,0.00001313696,0.00003977523,0.000009289842],"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":[0.0002031635,0.0000768239,0.0007262926,0.0001639605,0.00003062329,0.000288913,0.0001402603,0.8210576,0.06282761,0.007304625,0.001032158,0.106148],"study_design_scores_gemma":[0.00002138784,0.0001302525,0.0002958671,0.000003048963,0.000004504318,0.00002440368,0.000004707726,0.9963755,0.002015756,0.0004751857,0.0006450465,0.000004340718],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1075971,0.0002821236,0.88606,0.0001447825,0.00008722163,0.00005906085,0.00003005397,0.0005840482,0.005155665],"genre_scores_gemma":[0.9504766,0.00008659974,0.04568829,0.00003191637,0.00001814192,0.0000707062,0.00002526576,0.000007205005,0.003595318],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003892395,"threshold_uncertainty_score":0.007739484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01088508820873802,"score_gpt":0.2352145860547031,"score_spread":0.224329497845965,"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."}}