{"id":"W4408073534","doi":"10.1007/978-981-96-2248-1_19","title":"Optimized Backstepping Control for Spacecraft Formation Flying Using Bearing Measurements","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in electrical engineering","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Backstepping; Spacecraft; Bearing (navigation); Aerospace engineering; Astrobiology; Control (management); Geology; Computer science; Aeronautics; Control theory (sociology); Engineering; Physics; Artificial intelligence; Adaptive control","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":[0.0004293056,0.0008345144,0.001242393,0.0009651689,0.0001020564,0.00009804102,0.0003136914,0.000823272,0.00001157448],"category_scores_gemma":[0.0006943681,0.0009478233,0.0003630849,0.000240415,0.00001494261,0.0002199795,0.00004215751,0.001167409,0.000005602849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001630133,"about_ca_system_score_gemma":0.00008298498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009152216,"about_ca_topic_score_gemma":0.00001300604,"domain_scores_codex":[0.9972081,0.00002167852,0.0009576736,0.0005044517,0.0004347958,0.0008733633],"domain_scores_gemma":[0.9982982,0.0008732149,0.0001648766,0.0003571438,0.0001794289,0.0001271146],"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":[0.0000603376,0.000006231422,0.000005662114,0.0005460635,0.0003030078,0.000009380436,0.00004224239,0.9758331,0.01079263,0.0003532461,0.00002257377,0.0120255],"study_design_scores_gemma":[0.002233587,0.00004419459,0.000003683478,0.001401304,0.0001922137,0.00001470439,5.857107e-7,0.9901708,0.00126974,0.0002584354,0.003611008,0.0007997015],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00003793737,0.005027741,0.9890603,0.00003992967,0.0007752589,0.001688227,0.00002890521,0.000529009,0.002812664],"genre_scores_gemma":[0.7078211,0.000226591,0.2825269,0.0003058131,0.003492967,0.0005649417,0.0002377438,0.001414257,0.003409707],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7077831,"threshold_uncertainty_score":0.9992972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02538065398277927,"score_gpt":0.2342880025615773,"score_spread":0.208907348578798,"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."}}