{"id":"W4387133332","doi":"10.3390/aerospace10100843","title":"An Enhanced Incremental Nonlinear Dynamic Inversion Control Strategy for Advanced Unmanned Aircraft Systems","year":2023,"lang":"en","type":"article","venue":"Aerospace","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates","keywords":"Control theory (sociology); Nonlinear system; Control engineering; Cascade; Inversion (geology); Engineering; Control system; Computer science; Attitude control; Inner loop; Controller (irrigation); Aerospace engineering; Control (management); Artificial intelligence; Physics","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":[0.0001394151,0.0004456772,0.0002234592,0.0001722137,0.0001736093,0.000257836,0.0005359509,0.000197957,0.001198518],"category_scores_gemma":[0.0001523029,0.00009711003,0.0002004073,0.0001176131,0.0002254494,0.0002774603,0.0004418053,0.000316054,0.0001350302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002245596,"about_ca_system_score_gemma":0.000331362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002908926,"about_ca_topic_score_gemma":0.003301536,"domain_scores_codex":[0.9999269,0.00000953414,0.000003848249,0.000015382,0.00003173211,0.0000125878],"domain_scores_gemma":[0.9999616,0.000006357453,0.000007490811,0.000003272159,0.00001688955,0.000004366281],"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":[0.0002152393,0.0001056289,0.0006754333,0.0002825207,0.00005290727,0.000425141,0.0002814936,0.5213713,0.181186,0.02911602,0.001877201,0.2644111],"study_design_scores_gemma":[0.00001063563,0.0002298682,0.0002526942,0.000004501193,0.0000076059,0.00003748131,0.000008801131,0.9926804,0.004473567,0.0007950917,0.001493128,0.000006325472],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04038956,0.0002640079,0.9530874,0.00006650062,0.00006269973,0.00005496306,0.00001669584,0.0001628351,0.005895408],"genre_scores_gemma":[0.9498445,0.0001878317,0.04608295,0.00003472463,0.00002950621,0.0000567258,0.00003744801,0.000009899266,0.003716313],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002908926,"threshold_uncertainty_score":0.005784035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01188641635368984,"score_gpt":0.2600902924509175,"score_spread":0.2482038760972276,"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."}}