{"id":"W4399670694","doi":"10.3390/drones8060264","title":"Finite-Time Adaptive Quantized Control for Quadrotor Aerial Vehicle with Full States Constraints and Validation on QDrone Experimental Platform","year":2024,"lang":"en","type":"article","venue":"Drones","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"National Natural Science Foundation of China","keywords":"Control theory (sociology); Quantization (signal processing); Lyapunov function; Computer science; Smoothing; Controller (irrigation); Convergence (economics); Trajectory; Control engineering; Engineering; Control (management); Algorithm; Artificial intelligence; Nonlinear system","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":[0.0004600179,0.0002650692,0.0002649243,0.0001336662,0.0002772982,0.0003162716,0.0004360579,0.0002842699,0.00118371],"category_scores_gemma":[0.000569011,0.0001112259,0.0001493039,0.00007436635,0.000346032,0.0003121048,0.0004443359,0.000317705,0.00008477037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003199412,"about_ca_system_score_gemma":0.0004024603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005629953,"about_ca_topic_score_gemma":0.004724509,"domain_scores_codex":[0.9998324,0.00003086455,0.00001087865,0.00003583384,0.0000707786,0.00001926506],"domain_scores_gemma":[0.9997148,0.0000813592,0.00005452694,0.00004295571,0.00008628539,0.00001994732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009362879,0.0002393048,0.003275618,0.0004715585,0.00004388441,0.0005329488,0.0004600624,0.709283,0.2159313,0.007649907,0.0008974581,0.06027871],"study_design_scores_gemma":[0.00004215416,0.0004928801,0.001240174,0.000009533988,0.000006307041,0.00002138939,0.00005688904,0.9721276,0.02486191,0.0003295737,0.0007983841,0.0000130395],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7149482,0.0001873472,0.278106,0.0001800836,0.00009401823,0.0001089821,0.00008709098,0.0004382199,0.005849944],"genre_scores_gemma":[0.9937567,0.00001998173,0.005529564,0.000008429956,9.453974e-7,0.00002719963,0.00001961411,0.000003127597,0.0006344893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005629953,"threshold_uncertainty_score":0.01119435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01684426011167635,"score_gpt":0.2394296481410792,"score_spread":0.2225853880294029,"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."}}