{"id":"W4320039356","doi":"10.1002/rnc.6631","title":"An adaptive sliding mode fault‐tolerant control of a quadrotor unmanned aerial vehicle with actuator faults and model uncertainties","year":2023,"lang":"en","type":"article","venue":"International Journal of Robust and Nonlinear Control","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":97,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Fundamental Research Funds for the Central Universities; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Control theory (sociology); Actuator; Sliding mode control; Compensation (psychology); Fault tolerance; Mode (computer interface); Adaptive control; Computer science; Fault (geology); Control engineering; Scheme (mathematics); Engineering; Control (management); Nonlinear system; Artificial intelligence; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003941936,0.0002520709,0.0005949723,0.0003189791,0.0000525055,0.0000629822,0.0002718201,0.0001046298,0.000004698347],"category_scores_gemma":[0.00008007401,0.0001997491,0.0001045748,0.0001028603,0.00008511666,0.0004884346,0.0000214862,0.0002439224,0.000001903211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006770201,"about_ca_system_score_gemma":0.00009757767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003803155,"about_ca_topic_score_gemma":0.00004615949,"domain_scores_codex":[0.9983255,0.00007135607,0.0006400645,0.0001808703,0.0005345428,0.0002476497],"domain_scores_gemma":[0.9983989,0.0002441923,0.0003212022,0.0001154262,0.0007455546,0.0001747416],"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":[0.004695828,0.0000619769,0.0009035012,0.00002786206,0.0009283973,0.00009386771,0.0006465571,0.9613129,0.02931891,0.0001999724,0.00004649844,0.00176371],"study_design_scores_gemma":[0.008927758,0.0006065531,0.0005607785,0.000183213,0.000101345,0.00007447835,0.0005521635,0.9880622,0.0005544918,0.0000618079,0.0001112728,0.0002039387],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8587548,0.0002859235,0.1395825,0.0002847335,0.0003926808,0.0002995413,0.0003107904,0.00006371891,0.00002529054],"genre_scores_gemma":[0.9947625,0.00007623308,0.004213542,0.00005264538,0.0008052731,0.00001179922,0.000009165413,0.00004695384,0.00002188683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1360077,"threshold_uncertainty_score":0.8145534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.015965676011237,"score_gpt":0.2504739939615133,"score_spread":0.2345083179502763,"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."}}