{"id":"W4408092714","doi":"10.1109/icicip64458.2025.10898139","title":"Adaptive Prescribed Time Path Following Controller for Underactuated Surface Vessels","year":2025,"lang":"en","type":"article","venue":"","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Underactuation; Control theory (sociology); Unmanned surface vehicle; Controller (irrigation); Computer science; Path (computing); Surface (topology); Robot; Engineering; Mathematics; Marine engineering; Artificial intelligence; Control (management); Biology; Geometry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000196048,0.0004337506,0.0002516125,0.0001772939,0.0002516986,0.0003787108,0.0006029472,0.0003540156,0.0008423421],"category_scores_gemma":[0.0003857623,0.0001226212,0.0002131778,0.0001461749,0.0003644543,0.0002519882,0.0003729663,0.0004430622,0.000142054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002355608,"about_ca_system_score_gemma":0.0005194328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003292111,"about_ca_topic_score_gemma":0.002755133,"domain_scores_codex":[0.9998569,0.00001626711,0.000007412409,0.00004368517,0.00005709565,0.00001854606],"domain_scores_gemma":[0.9998073,0.00003433993,0.00006580211,0.00001120172,0.0000705438,0.00001079489],"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":[0.000376216,0.0001156243,0.001438619,0.0003330952,0.00007703407,0.0006864842,0.0004811752,0.6902289,0.1485896,0.01684752,0.002728846,0.1380969],"study_design_scores_gemma":[0.0000407254,0.0002972638,0.000497307,0.000007339347,0.00001193026,0.00006477658,0.00001836687,0.9905863,0.0058027,0.0008837628,0.00178015,0.000009316017],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1218374,0.0003655913,0.8711344,0.0001457426,0.0001306438,0.00006772796,0.00004044182,0.0007051476,0.005572928],"genre_scores_gemma":[0.9828495,0.0001340377,0.01509569,0.00004149182,0.00002394694,0.00006965179,0.00004216882,0.000009887755,0.001733641],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003292111,"threshold_uncertainty_score":0.006545901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0108831401744239,"score_gpt":0.2333096848556455,"score_spread":0.2224265446812216,"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."}}