{"id":"W2017681368","doi":"10.1109/ccece.2008.4564588","title":"A neural network type feedback law for linear systems with position and rate limited actuators","year":2008,"lang":"en","type":"article","venue":"Conference proceedings - Canadian Conference on Electrical and Computer Engineering","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Control theory (sociology); Nonlinear system; Actuator; Ellipsoid; Position (finance); Artificial neural network; Stability (learning theory); Computer science; Domain (mathematical analysis); Linear system; Feedback loop; Mathematics; Artificial intelligence; Control (management); Physics; Mathematical analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002394664,0.0004049292,0.0002080899,0.0001523054,0.0001784911,0.0002789467,0.0005072528,0.000428067,0.001432382],"category_scores_gemma":[0.0004940858,0.0001047476,0.0001827888,0.0001174835,0.0003409747,0.0004677536,0.0003995319,0.000491603,0.0001992266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002776659,"about_ca_system_score_gemma":0.0002969033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001192064,"about_ca_topic_score_gemma":0.00173477,"domain_scores_codex":[0.999866,0.0000171636,0.000009131615,0.00003271686,0.00006573791,0.000009117171],"domain_scores_gemma":[0.9999026,0.00003345716,0.00001607055,0.000008205664,0.0000339099,0.000005720135],"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":[0.0002335265,0.0001411415,0.0006969773,0.0008382121,0.00007063356,0.0006781762,0.0003084526,0.2216121,0.3296973,0.06963696,0.003832944,0.3722536],"study_design_scores_gemma":[0.00004605847,0.0003329678,0.0004940738,0.00004966828,0.00002919752,0.0003257197,0.0000137968,0.9607416,0.02272154,0.00600144,0.009221789,0.00002210352],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009478157,0.0003684392,0.9853602,0.0001143219,0.000116042,0.00005007773,0.00002413591,0.0003403948,0.004148262],"genre_scores_gemma":[0.7779446,0.000753477,0.2099978,0.0003173217,0.0001564345,0.0002660561,0.00008463631,0.00005232284,0.01042721],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001432382,"threshold_uncertainty_score":0.004791796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01795150954564569,"score_gpt":0.1846465994833303,"score_spread":0.1666950899376846,"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."}}