{"id":"W3040702708","doi":"10.1109/tcst.2020.3005966","title":"Adaptive Pose Control for Spacecraft Proximity Operations With Prescribed Performance Under Spatial Motion Constraints","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Control Systems Technology","topic":"Space Satellite Systems and Control","field":"Engineering","cited_by":124,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Beijing Advanced Discipline Center for Unmanned Aircraft System; Natural Science Foundation of Beijing Municipality; National Natural Science Foundation of China","keywords":"Pursuer; Control theory (sociology); Spacecraft; Controller (irrigation); Computer science; Inertia; Control engineering; Position (finance); Tracking (education); Attitude control; Angular velocity; Artificial intelligence; Engineering; Computer vision; Control (management); Mathematics; Mathematical optimization; Aerospace engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001601823,0.000430316,0.0007088747,0.0002682341,0.0002682954,0.00007858088,0.0002293035,0.0004286193,0.00002742781],"category_scores_gemma":[0.00001020373,0.0003814928,0.0001382517,0.0002902518,0.000197623,0.0002744384,8.6389e-7,0.0004832727,0.00004579896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001639103,"about_ca_system_score_gemma":0.00008235881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008504882,"about_ca_topic_score_gemma":0.0003543292,"domain_scores_codex":[0.9981177,0.00007702531,0.0005224692,0.0004970087,0.0002409242,0.0005448532],"domain_scores_gemma":[0.9989767,0.0001064901,0.00008745059,0.0003784396,0.000278834,0.0001720999],"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":[0.0006932998,0.00009098036,0.00006761769,0.0001638327,0.0007166734,0.000006015616,0.0001939802,0.9623796,0.02029721,0.0008741265,0.00004607248,0.01447055],"study_design_scores_gemma":[0.009081263,0.001352244,0.00007565892,0.0001109389,0.0002419319,0.00004760191,0.0005688659,0.982327,0.005240451,0.00001236616,0.0004871148,0.0004545289],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01443432,0.0002641041,0.9763207,0.001763342,0.0008550482,0.004455929,0.0004036703,0.00133778,0.0001650964],"genre_scores_gemma":[0.9967492,0.00001650363,0.0003815084,0.0001528268,0.0002078256,0.002328156,0.000005302528,0.0000877046,0.00007100432],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9823148,"threshold_uncertainty_score":0.9998637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01064613724427489,"score_gpt":0.189595179637132,"score_spread":0.1789490423928571,"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."}}