{"id":"W2346174159","doi":"10.1016/j.asr.2016.04.022","title":"State dependent model predictive control for orbital rendezvous using pulse-width pulse-frequency modulated thrusters","year":2016,"lang":"en","type":"article","venue":"Advances in Space Research","topic":"Spacecraft Dynamics and Control","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick; University of Toronto; York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Model predictive control; Optimal control; Sequential quadratic programming; Trajectory; Pulse-width modulation; Pulse (music); Trajectory optimization; Spacecraft; Orbit (dynamics); Computer science; Physics; Quadratic programming; Mathematics; Optics; Voltage; Control (management); Mathematical optimization; Engineering; Aerospace engineering; Detector","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":[0.0009030871,0.0002857241,0.0003949126,0.0003921465,0.0001309861,0.0000671817,0.0003914798,0.0001400909,0.00001943182],"category_scores_gemma":[0.0002473758,0.000228763,0.00009376611,0.0003972756,0.0001617808,0.0008077997,0.00006744545,0.0003969868,0.000009480586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008296354,"about_ca_system_score_gemma":0.0001271556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000111381,"about_ca_topic_score_gemma":0.0005357567,"domain_scores_codex":[0.9970858,0.0001054797,0.0003788173,0.0005162812,0.000669728,0.001243911],"domain_scores_gemma":[0.9984978,0.0004954832,0.00005480452,0.0004542533,0.0003027611,0.0001948259],"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":[0.0004233894,0.00006387177,0.003216318,0.0000767488,0.00009331369,0.00004896613,0.000213041,0.8972934,0.07901979,0.001116949,0.00002225987,0.01841193],"study_design_scores_gemma":[0.003160149,0.000203491,0.0002450175,0.0001405793,0.00001224997,0.000007530465,0.0001255852,0.9717286,0.0008711923,0.02315688,0.00005467753,0.0002940577],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.178099,0.003551534,0.8139623,0.0003734584,0.0002814576,0.001428396,0.0003248925,0.0001712434,0.001807736],"genre_scores_gemma":[0.9946787,0.001354996,0.003116977,0.000009762145,0.00007298103,0.0003254453,0.000005789209,0.0001005029,0.0003348773],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8165797,"threshold_uncertainty_score":0.9328686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02173177700804565,"score_gpt":0.3140503776622215,"score_spread":0.2923186006541759,"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."}}