{"id":"W4387709020","doi":"10.1007/s10846-023-01937-9","title":"Quasi-Static State Feedback Output Tracking for a Slung Load System with Rotor Drag Compensation: PX4-SITL Validation","year":2023,"lang":"en","type":"article","venue":"Journal of Intelligent & Robotic Systems","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Economic Development and Trade, Government of Alberta","keywords":"Control theory (sociology); Multirotor; Feedback linearization; Tracking error; Controller (irrigation); Autopilot; Computer science; Linearization; Control engineering; Engineering; Nonlinear system; Physics; Control (management)","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":[0.003190143,0.0007111304,0.0008548472,0.0005584321,0.0009539243,0.001036306,0.0007131586,0.001853399,0.005297936],"category_scores_gemma":[0.004664901,0.0003555259,0.0008184306,0.000300244,0.00104475,0.0007124215,0.001299043,0.001068572,0.0008037615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007581836,"about_ca_system_score_gemma":0.00177842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02661327,"about_ca_topic_score_gemma":0.01458367,"domain_scores_codex":[0.999526,0.0001458508,0.00003308331,0.00006193402,0.0001358228,0.00009727545],"domain_scores_gemma":[0.9965969,0.001839065,0.0002890957,0.0002892132,0.000926784,0.00005899529],"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":[0.0006064276,0.0001535904,0.002095506,0.0006680029,0.0001085868,0.0001838908,0.0003993687,0.9565769,0.01176856,0.004624671,0.0008605624,0.02195391],"study_design_scores_gemma":[0.00004188178,0.0001765059,0.000556752,0.00003299601,0.00001500943,0.00001180411,0.0000512933,0.9962101,0.00237325,0.0002395904,0.0002817879,0.000009025546],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4499522,0.0004816321,0.521778,0.0005929167,0.0001990678,0.0003912984,0.0004170537,0.002102001,0.02408581],"genre_scores_gemma":[0.9880759,0.00005177366,0.009148931,0.00004466545,0.000004982546,0.0001055646,0.0001222649,0.00004943104,0.002396516],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02661327,"threshold_uncertainty_score":0.05291671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03885230370402441,"score_gpt":0.2582626626845269,"score_spread":0.2194103589805025,"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."}}