{"id":"W2896974094","doi":"10.1109/tsmc.2018.2871672","title":"Adaptive Path Following Control of Unmanned Surface Vehicles Considering Environmental Disturbances and System Constraints","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Systems","topic":"Maritime Navigation and Safety","field":"Engineering","cited_by":113,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Rudder; Control theory (sociology); Controller (irrigation); Backstepping; Engineering; Adaptive control; Unmanned surface vehicle; Computer science; Control engineering; Control (management); Marine engineering","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":[0.0001978936,0.0004604659,0.0002734022,0.0001570939,0.0002526476,0.0004065607,0.0004413507,0.0003752146,0.0006109015],"category_scores_gemma":[0.0003576478,0.0001308807,0.0002380652,0.0001728057,0.000316073,0.0002330447,0.0003405464,0.0003690888,0.00007910356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002240435,"about_ca_system_score_gemma":0.0004915304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007893583,"about_ca_topic_score_gemma":0.004398561,"domain_scores_codex":[0.9998696,0.00002085349,0.000004978664,0.00003599938,0.00004731673,0.00002119932],"domain_scores_gemma":[0.9998666,0.00003451536,0.00003618721,0.000008528312,0.00004650636,0.000007653745],"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":[0.00006556686,0.00002196244,0.0005067583,0.00006825136,0.00002359595,0.0001701871,0.0001012079,0.9459566,0.02296457,0.002264386,0.0002528475,0.02760399],"study_design_scores_gemma":[0.00000681131,0.00007255599,0.0002369439,0.000001825141,0.000003925674,0.0000131443,0.000009501477,0.9981029,0.001022673,0.0001952612,0.0003317393,0.000002705164],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1587257,0.0003805857,0.8346164,0.0001002202,0.00007764847,0.00004425218,0.00002513418,0.000374835,0.005655176],"genre_scores_gemma":[0.9892282,0.00009119281,0.009248956,0.00001704329,0.00001055368,0.00003358349,0.00001792449,0.0000060841,0.001346529],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007893583,"threshold_uncertainty_score":0.01569527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007336447962054135,"score_gpt":0.1818555492546039,"score_spread":0.1745191012925498,"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."}}