{"id":"W4242532447","doi":"10.1007/s11071-021-06869-3","title":"Model predictive control for electrodynamic tether geometric profile in orbital maneuvering with finite element state estimator","year":2021,"lang":"en","type":"article","venue":"Nonlinear Dynamics","topic":"Space Satellite Systems and Control","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Multiphysics; Control theory (sociology); Trajectory; Estimator; Kalman filter; Position (finance); Underactuation; Physics; Finite element method; Scalar (mathematics); Conical surface; Computer science; Mathematics; Geometry; Nonlinear system; Control (management)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001682013,0.0002703915,0.0003849037,0.0002201261,0.00004582785,0.00005422343,0.000116827,0.00009686547,0.00001103814],"category_scores_gemma":[0.00004283645,0.0002551999,0.00007866344,0.0004895956,0.00001880412,0.0001253706,0.00001879164,0.0002525107,0.000008414847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004050939,"about_ca_system_score_gemma":0.0001272395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000248321,"about_ca_topic_score_gemma":0.000991716,"domain_scores_codex":[0.9985361,0.00002063611,0.0003597573,0.0003238955,0.0002182642,0.0005414106],"domain_scores_gemma":[0.9993303,0.0001199004,0.00006220139,0.000260698,0.0001428596,0.00008407328],"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":[0.0001268267,0.00005946403,0.002215942,0.0001477252,0.000136516,0.00004052563,0.0000859487,0.9935678,0.0007688459,0.0001191282,0.000008929198,0.002722356],"study_design_scores_gemma":[0.002327805,0.0001491656,0.0005107846,0.00005814268,0.0000393979,0.00001438023,0.0001287201,0.9960877,0.0002306397,0.00008034512,0.00008219635,0.0002907376],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2560579,0.0003170174,0.741313,0.00004257813,0.0001160476,0.0008572583,0.0006461857,0.0001744163,0.0004756322],"genre_scores_gemma":[0.9752281,0.00003590698,0.02341316,0.00002479665,0.00006714424,0.0002937108,0.0002204277,0.0001171915,0.0005995395],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7191703,"threshold_uncertainty_score":0.99999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004913140888645606,"score_gpt":0.2022639785521909,"score_spread":0.1973508376635453,"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."}}