{"id":"W2079458129","doi":"10.1109/oceans.2007.4449388","title":"Robust Control of Underwater Vehicles with Fault-Tolerant Infinity-Norm Thruster Force Allocation","year":2007,"lang":"en","type":"article","venue":"","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Norm (philosophy); Control theory (sociology); Remotely operated underwater vehicle; A priori and a posteriori; Adaptive control; Controller (irrigation); Computer science; Control engineering; Engineering; Control (management); Artificial intelligence; Mobile robot; Robot; Law","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004706162,0.0006352209,0.0004947242,0.0002407016,0.0002233416,0.0007028821,0.0008217291,0.0004472461,0.0008183757],"category_scores_gemma":[0.0009259891,0.0002148748,0.0003412558,0.0001733614,0.0005400566,0.0005299617,0.0007528705,0.000482636,0.0001880954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004696485,"about_ca_system_score_gemma":0.0006088751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003365004,"about_ca_topic_score_gemma":0.001614724,"domain_scores_codex":[0.9996586,0.00005840311,0.0000208227,0.00009911981,0.000115038,0.0000480944],"domain_scores_gemma":[0.9997025,0.00007518242,0.0001033429,0.00002408998,0.00007964265,0.00001523674],"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":[0.0001405833,0.00002743922,0.0002846399,0.0001047061,0.0000319394,0.0001140609,0.00008892249,0.9266897,0.01744983,0.01153685,0.0005623951,0.04296902],"study_design_scores_gemma":[0.000009853917,0.00008989313,0.0001390502,0.000003874089,0.000004463831,0.00001252383,0.000011782,0.9960281,0.001935573,0.001325376,0.0004339954,0.000005538337],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05234442,0.0002273969,0.9433446,0.0001624444,0.00007404755,0.00002624123,0.00002654499,0.0004304629,0.003363829],"genre_scores_gemma":[0.9765251,0.000104208,0.02085494,0.00003602421,0.00002696872,0.00005448205,0.00003772911,0.0000195523,0.002340961],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003365004,"threshold_uncertainty_score":0.00669086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01759323245816554,"score_gpt":0.2065075479865029,"score_spread":0.1889143155283373,"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."}}