{"id":"W3166616817","doi":"10.1016/b978-0-32-389863-8.00016-2","title":"Fault-tolerant finite-time attitude-tracking control","year":2021,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Control theory (sociology); Actuator; Tracking (education); Fault tolerance; Observer (physics); Attitude control; Tracking error; Control engineering; Control (management); Torque; Computer science; Fault (geology); Engineering; Artificial intelligence; Psychology; Distributed computing; Physics","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":[0.0001249596,0.000446976,0.0003800651,0.0002450389,0.0001539991,0.0006549584,0.0007741189,0.0004736037,0.004175713],"category_scores_gemma":[0.0003754134,0.000123686,0.0001734664,0.0002974053,0.0003574043,0.0004421272,0.0003193561,0.000611056,0.001114527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002074689,"about_ca_system_score_gemma":0.0001472599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001206377,"about_ca_topic_score_gemma":0.0009004098,"domain_scores_codex":[0.99985,0.00001292118,0.000007559563,0.00002634076,0.00008848469,0.00001468721],"domain_scores_gemma":[0.9998798,0.00004048356,0.00001528174,0.00002874443,0.00003079445,0.000004887561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001442459,0.00006262628,0.0001861126,0.0002777296,0.00002969059,0.0001149793,0.00009214172,0.2741014,0.04379502,0.0296654,0.01107257,0.640458],"study_design_scores_gemma":[0.00001584191,0.0001625975,0.0005817263,0.00008203676,0.00001685168,0.0001740897,0.00002330756,0.9196711,0.01407075,0.02498018,0.04020367,0.00001782143],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01191872,0.003129572,0.9363864,0.0002864448,0.000817124,0.00001880063,0.0001009491,0.001891008,0.04545113],"genre_scores_gemma":[0.8178644,0.003227174,0.08316372,0.0003291046,0.0003727981,0.00007561065,0.0004292923,0.000204161,0.09433377],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004175713,"threshold_uncertainty_score":0.01396918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01344793369508731,"score_gpt":0.2169498519491048,"score_spread":0.2035019182540175,"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."}}