{"id":"W2138450006","doi":"","title":"An investigation of nonlinear adaptive output feedback control for robotic manipulators","year":2004,"lang":"en","type":"article","venue":"Asian Control Conference","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Control theory (sociology); Convergence (economics); Nonlinear system; Feedback linearization; Adaptive control; Observer (physics); Robot manipulator; Computer science; Linearization; Control (management); Control engineering; Engineering; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002994527,0.000396869,0.0007894558,0.0001701042,0.00007401686,0.00005941869,0.0004034648,0.0002164491,0.00001240631],"category_scores_gemma":[0.00008468194,0.000405472,0.0001798871,0.000160989,0.0001557387,0.0004264166,0.00001054384,0.0002219374,0.0000383891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001544478,"about_ca_system_score_gemma":0.0002128324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006756007,"about_ca_topic_score_gemma":0.0001666556,"domain_scores_codex":[0.9980191,0.00008895393,0.000707869,0.000397174,0.0002991266,0.0004877496],"domain_scores_gemma":[0.9983458,0.0001497349,0.0002261019,0.0004846267,0.0005195692,0.000274201],"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":[0.0009534486,0.0002244426,0.006399801,0.0003819672,0.001205494,0.00003037956,0.002225224,0.8732048,0.053276,0.05027812,0.0001327044,0.01168765],"study_design_scores_gemma":[0.01243055,0.0009479447,0.01883981,0.0002188167,0.0002330979,0.0000115857,0.0005159081,0.9615671,0.001983318,0.002460352,0.0001423172,0.0006492216],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05654038,0.0002182814,0.9394825,0.0004228067,0.0004885573,0.001724985,0.0001561832,0.0003254904,0.0006407797],"genre_scores_gemma":[0.9908324,0.000003575146,0.008376998,0.00013166,0.0003653631,0.0001294929,0.00003765383,0.00008647027,0.00003641494],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.934292,"threshold_uncertainty_score":0.9998397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02753184413302424,"score_gpt":0.2344893076446574,"score_spread":0.2069574635116332,"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."}}