{"id":"W2804551012","doi":"10.24425/119079","title":"Application of predictive control for manipulator mounted on a satellite","year":2018,"lang":"en","type":"article","venue":"Archives of Control Sciences","topic":"Space Satellite Systems and Control","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Satellite; Trajectory; Computer science; Control theory (sociology); Realization (probability); Orbit (dynamics); Model predictive control; Controller (irrigation); Space debris; Manipulator (device); Control engineering; Spacecraft; Control (management); Aerospace engineering; Engineering; Robotic arm; Artificial intelligence; Mathematics; Physics","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":[0.0001979704,0.0003563533,0.0002054623,0.0001510429,0.000252863,0.000334256,0.0003885729,0.0004754415,0.0008755757],"category_scores_gemma":[0.0004786204,0.0001326762,0.0001979927,0.0001347325,0.0003067892,0.0001422798,0.0002833593,0.0002716361,0.00009186345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002234826,"about_ca_system_score_gemma":0.000448787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005408721,"about_ca_topic_score_gemma":0.003038211,"domain_scores_codex":[0.9998925,0.00002372716,0.000004723605,0.00002115899,0.00004334245,0.00001449133],"domain_scores_gemma":[0.9998473,0.00005879171,0.00003173663,0.00001606338,0.00003883979,0.000007311052],"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":[0.0001209566,0.00003257806,0.0005556365,0.0001387509,0.0000231181,0.0003250703,0.0001047716,0.9250098,0.02678397,0.003975832,0.0003368124,0.04259266],"study_design_scores_gemma":[0.00001177687,0.0001822385,0.0004000582,0.000007504104,0.00001008999,0.00003125222,0.00001264332,0.994629,0.003514821,0.0004869869,0.0007079556,0.000005650405],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1871072,0.001046652,0.7949806,0.000293351,0.0001494974,0.00009751783,0.0000343316,0.000649109,0.01564186],"genre_scores_gemma":[0.9866845,0.0001975518,0.01178706,0.00001430509,0.00001915159,0.00003625498,0.00001254459,0.00000327442,0.001245391],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005408721,"threshold_uncertainty_score":0.01075453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006978551219753736,"score_gpt":0.2353806100560093,"score_spread":0.2284020588362556,"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."}}