{"id":"W1973473155","doi":"10.5539/mas.v3n11p34","title":"Model-Based Feedback Control of High-speed Supercavitating Vehicles","year":2009,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Fluid Dynamics Simulations and Interactions","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Supercavitation; Linear-quadratic regulator; Control theory (sociology); Linearization; Controller (irrigation); Drag; Feed forward; Computer science; Nonlinear system; Feedback linearization; Control engineering; Control (management); Engineering; Physics; Mechanics; Aerospace engineering; Artificial intelligence","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":[0.0004161109,0.0004092351,0.000431555,0.0001850805,0.0003464399,0.0006349292,0.0004688902,0.0003393228,0.000842444],"category_scores_gemma":[0.0004816309,0.0002001579,0.000272355,0.0001322317,0.0005441404,0.0002572472,0.0005693291,0.0003605199,0.0001241454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004131572,"about_ca_system_score_gemma":0.0005469588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007288449,"about_ca_topic_score_gemma":0.004209339,"domain_scores_codex":[0.9998036,0.0000501198,0.000008835153,0.00003174744,0.00007441268,0.00003137862],"domain_scores_gemma":[0.9997187,0.00008725365,0.00006895713,0.00001860395,0.00008876312,0.00001759008],"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":[0.00006345912,0.00002356276,0.000218177,0.00005396111,0.00001551342,0.00005904298,0.00006907262,0.9763421,0.009713778,0.003504614,0.0003011021,0.009635639],"study_design_scores_gemma":[0.000009216737,0.00007371727,0.0001030394,0.000002400641,0.000004036703,0.000006658978,0.000007800399,0.9980333,0.0008263214,0.0006091831,0.0003210446,0.000003222671],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1537674,0.0003432337,0.8352492,0.0002495322,0.00008760417,0.000068154,0.00005058732,0.0009222028,0.009262123],"genre_scores_gemma":[0.9935453,0.00006613238,0.005346562,0.00001436952,0.000008478783,0.0000409787,0.00001465244,0.000007477073,0.0009560814],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007288449,"threshold_uncertainty_score":0.01449209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01043314199154276,"score_gpt":0.2265036160073271,"score_spread":0.2160704740157844,"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."}}