{"id":"W2326945679","doi":"10.2514/6.2008-6469","title":"A Bang-Bang Control Approach to Maneuver Spacecraft in a Formation with Differential Drag","year":2008,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation and Control Conference and Exhibit","topic":"Spacecraft Dynamics and Control","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Space Agency","funders":"","keywords":"Spacecraft; Drag; Control theory (sociology); Differential (mechanical device); Aerospace engineering; Computer science; Control (management); Physics; Aeronautics; Engineering; Artificial intelligence","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":[0.0001727255,0.0005371921,0.0002810658,0.0002359852,0.0003132501,0.0004984824,0.0006809602,0.0003704076,0.001557808],"category_scores_gemma":[0.0002117503,0.0002192294,0.000322085,0.0002135424,0.0006418035,0.0003126844,0.0005053041,0.0006014538,0.000277829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002870987,"about_ca_system_score_gemma":0.0004234235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003248289,"about_ca_topic_score_gemma":0.002493148,"domain_scores_codex":[0.9999373,0.00001217941,0.000003810026,0.00001501852,0.00002198444,0.000009793102],"domain_scores_gemma":[0.9999523,0.00001458411,0.000007778471,0.00000492636,0.00001236093,0.000008062408],"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":[0.0001576729,0.000113394,0.0006345346,0.0004090098,0.00007938134,0.0004357916,0.000549874,0.5991734,0.04134424,0.1854467,0.003586766,0.1680693],"study_design_scores_gemma":[0.00003827216,0.0003028494,0.0002025837,0.00001919556,0.00001826144,0.00006616192,0.00003477801,0.9704134,0.002611199,0.01676841,0.009504982,0.00001986393],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01107221,0.0005662311,0.9750615,0.0001768667,0.000124772,0.00004724212,0.00001857561,0.0002830354,0.01264964],"genre_scores_gemma":[0.8212399,0.001191673,0.1568259,0.0002382249,0.0001179278,0.0002083581,0.0000568393,0.00006079444,0.0200604],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003248289,"threshold_uncertainty_score":0.006458759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006739779483541572,"score_gpt":0.1791969519984535,"score_spread":0.1724571725149119,"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."}}