{"id":"W2316544362","doi":"10.2514/6.2002-4565","title":"Methods of Trajectory Tracking for Flexible Link Manipulators","year":2002,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference and Exhibit","topic":"Dynamics and Control of Mechanical Systems","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Control theory (sociology); Kalman filter; Linear-quadratic regulator; Extended Kalman filter; Fuzzy logic; Linear-quadratic-Gaussian control; Mathematics; Computer science; Invariant extended Kalman filter; Optimal control; Mathematical optimization; 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":[],"consensus_categories":[],"category_scores_codex":[0.0004090779,0.0001837878,0.0004245961,0.00006323217,0.00009432981,0.00007098707,0.0001005838,0.000137792,0.00001654469],"category_scores_gemma":[0.00002863753,0.0001745565,0.00008109586,0.000102204,0.00005497238,0.0001578326,0.000008719601,0.0001050514,0.000001577753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000184703,"about_ca_system_score_gemma":0.00001135032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002405333,"about_ca_topic_score_gemma":0.000007741583,"domain_scores_codex":[0.9989281,0.00004203243,0.0004631514,0.0002260936,0.0001024455,0.0002382222],"domain_scores_gemma":[0.9993544,0.0001633953,0.00008870791,0.0001550403,0.0001506183,0.00008787274],"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":[0.00009917032,0.00005628249,0.003747354,0.001007641,0.0004207339,0.000002457256,0.0009214542,0.001426758,0.1449805,0.1769677,0.0004534696,0.6699165],"study_design_scores_gemma":[0.003943397,0.0002044549,0.005122649,0.0004212765,0.0001663163,0.000008234393,0.0002573092,0.9567951,0.00423941,0.01635516,0.0120296,0.000457074],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2058233,0.01478803,0.7736453,0.0003478393,0.0005363631,0.0008266936,0.00004305299,0.0002266955,0.003762724],"genre_scores_gemma":[0.9976408,0.0003025591,0.00154567,0.00008129311,0.0001149314,0.00007785893,0.000006225892,0.00002296824,0.0002077307],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9553683,"threshold_uncertainty_score":0.7118209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02670904091069739,"score_gpt":0.2609210633838511,"score_spread":0.2342120224731537,"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."}}