{"id":"W3187771405","doi":"10.1016/j.ast.2021.106971","title":"Distributed optimal control allocation for 6-dof spacecraft with redundant thrusters","year":2021,"lang":"en","type":"article","venue":"Aerospace Science and Technology","topic":"Spacecraft Dynamics and Control","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Thrust; Spacecraft; Control theory (sociology); Optimal control; Norm (philosophy); Computer science; Scheme (mathematics); Optimal allocation; Mathematical optimization; Distributed computing; Topology (electrical circuits); Engineering; Control (management); Mathematics; Aerospace engineering","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":[0.0001603823,0.0001375815,0.0001881587,0.0001317505,0.0001882528,0.00008839568,0.0001774875,0.0001026746,0.000003412125],"category_scores_gemma":[0.0000948224,0.0001201039,0.00001896318,0.0009322763,0.0005365313,0.0001653963,0.00003597623,0.0001197796,0.000002213071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000075244,"about_ca_system_score_gemma":0.0001419488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005032025,"about_ca_topic_score_gemma":0.00008391861,"domain_scores_codex":[0.9989915,0.000003925959,0.0001032176,0.0003214953,0.0001695267,0.0004102874],"domain_scores_gemma":[0.9992548,0.00003133124,0.0000308021,0.0002809464,0.0003263129,0.00007579375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005859255,0.00005644711,0.004974843,0.00005827409,0.0001139835,0.00003656218,0.0001786186,0.0083847,0.9345993,0.03910064,0.0008161903,0.01162184],"study_design_scores_gemma":[0.00323668,0.0004048104,0.001613752,0.00005676632,0.000080679,0.0001593951,0.002264021,0.9278805,0.05553917,0.0009033058,0.00734734,0.0005135746],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5017143,0.0007811539,0.4760402,0.01999512,0.0002155343,0.0004966202,0.00005254503,0.0004984238,0.0002059945],"genre_scores_gemma":[0.9954706,0.00006473359,0.004168833,0.00008132976,0.00001480886,0.00009427685,0.000008265754,0.0000159295,0.00008117628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9194958,"threshold_uncertainty_score":0.4897696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002556779781313152,"score_gpt":0.1860814045493775,"score_spread":0.1835246247680644,"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."}}