{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001652911,0.000445775,0.0002475973,0.0001817381,0.000238296,0.0003254448,0.0003375526,0.0003096693,0.0005276888],"category_scores_gemma":[0.0002584266,0.0001103462,0.0002221501,0.0001164158,0.0002769323,0.0002263241,0.0003045976,0.0002279224,0.00006076487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001705812,"about_ca_system_score_gemma":0.0002541717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004844973,"about_ca_topic_score_gemma":0.002007138,"domain_scores_codex":[0.9998956,0.00001651613,0.000006567678,0.00003357929,0.00003111598,0.00001660866],"domain_scores_gemma":[0.9999033,0.00001837763,0.00003158881,0.0000104195,0.00002739578,0.000008851147],"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":[0.0003078716,0.00007063941,0.001714578,0.0001595738,0.00007331814,0.0007412204,0.0002289311,0.7961132,0.1261663,0.004313316,0.0007404931,0.06937063],"study_design_scores_gemma":[0.00001914617,0.0002509014,0.0007620868,0.00000395435,0.00001083949,0.0000445285,0.00002305376,0.9938426,0.004184376,0.0003069459,0.0005455632,0.000005976815],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3426008,0.000366835,0.6508567,0.000216784,0.0001505715,0.00006809973,0.00004437961,0.0003471688,0.005348778],"genre_scores_gemma":[0.9951299,0.00003730441,0.004126067,0.00001495869,0.000006109847,0.00001596634,0.00001094042,0.000002068598,0.0006564343],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004844973,"threshold_uncertainty_score":0.009633541,"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."}}