{"id":"W4414166076","doi":"10.1109/tvt.2025.3607963","title":"Distributed Observer-Based Formation-Fencing Control for Multi-Autonomous Aerial Vehicles","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"National Natural Science Foundation of China","keywords":"Control theory (sociology); Trajectory; Parametric statistics; Fuzzy logic; Fuzzy control system; Observer (physics); Lyapunov function; Stability (learning theory); Adaptive control","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":[0.0005727103,0.0005969754,0.0006583454,0.0002516557,0.000345405,0.0007050373,0.001033176,0.0006751987,0.0005537793],"category_scores_gemma":[0.001040589,0.0002450655,0.0004429363,0.0002216635,0.0006453383,0.0005872208,0.0008160857,0.0007244218,0.00009206893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005682007,"about_ca_system_score_gemma":0.0006989028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007378269,"about_ca_topic_score_gemma":0.00353838,"domain_scores_codex":[0.9997044,0.00004838174,0.00001565031,0.00009227043,0.00009087197,0.00004837611],"domain_scores_gemma":[0.9995408,0.0001390809,0.0001062902,0.00003720485,0.000152005,0.00002456249],"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":[0.0001238311,0.00003589644,0.0007059442,0.00009612582,0.00004358038,0.0001692745,0.0001621256,0.9489646,0.01038106,0.005880387,0.000492505,0.03294459],"study_design_scores_gemma":[0.00001101387,0.00004631152,0.00009086217,0.000002597996,0.000004502581,0.000008486341,0.00001002665,0.9982706,0.0007953902,0.0005333493,0.0002240616,0.000002758893],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0324066,0.0002289072,0.9654919,0.00009289648,0.00006954734,0.0000230308,0.00001553739,0.0001726233,0.001498893],"genre_scores_gemma":[0.9855036,0.0001257773,0.01294021,0.00002630285,0.00001935396,0.00004997366,0.00003883547,0.000009908142,0.001285909],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007378269,"threshold_uncertainty_score":0.01467067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02038546218039392,"score_gpt":0.2557125089477604,"score_spread":0.2353270467673665,"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."}}