{"id":"W2048160794","doi":"10.1109/cdc.2014.7040164","title":"Multiple-model control for spacecraft under actuation sign errors","year":2014,"lang":"en","type":"article","venue":"","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Control theory (sociology); Spacecraft; Actuator; Sign (mathematics); Attitude control; Computer science; Control (management); Control engineering; Control system; Scheme (mathematics); Fault (geology); Tracking (education); Tracking error; Stability (learning theory); Engineering; Mathematics; Artificial intelligence","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":[0.0002573011,0.0004221047,0.00041056,0.0001640783,0.0002930396,0.0005516526,0.0004691468,0.0003910782,0.0008784763],"category_scores_gemma":[0.0005565051,0.0001217933,0.0003165283,0.0001605028,0.0003269142,0.0004314573,0.0005619266,0.0005019586,0.0001442318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002617582,"about_ca_system_score_gemma":0.0003476547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00232362,"about_ca_topic_score_gemma":0.002245825,"domain_scores_codex":[0.9998662,0.00002675952,0.000006834284,0.00002753434,0.00005256547,0.00002006035],"domain_scores_gemma":[0.999845,0.00003838048,0.00004514099,0.00002037159,0.00003885397,0.0000122017],"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":[0.0001859173,0.00007659807,0.0008897526,0.0001585902,0.00004708537,0.0002146751,0.0001734195,0.8414845,0.03539943,0.01705483,0.001213557,0.1031017],"study_design_scores_gemma":[0.00002087357,0.0001457343,0.0002251233,0.000005372087,0.000006109368,0.00002907149,0.00001101289,0.9936408,0.002739183,0.002218114,0.0009519493,0.000006543266],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1265933,0.0004925372,0.8669309,0.0002235892,0.0001905768,0.00003283078,0.00003329882,0.0006048341,0.004898117],"genre_scores_gemma":[0.9866927,0.0001062307,0.01156018,0.0000311974,0.0000212454,0.00002356525,0.000025499,0.00001118606,0.001528122],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00232362,"threshold_uncertainty_score":0.004620194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02016719767681351,"score_gpt":0.2376443893545958,"score_spread":0.2174771916777822,"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."}}