{"id":"W4410632700","doi":"10.22215/etd/2024-16367","title":"Nonlinear Disturbance Estimation-Enhanced Simple Adaptive Control of a Space Robot","year":2024,"lang":"en","type":"dissertation","venue":"","topic":"Space Satellite Systems and Control","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Simple (philosophy); Control theory (sociology); Nonlinear system; Disturbance (geology); Estimation; Computer science; Space (punctuation); Adaptive control; Robot; Control (management); Control engineering; Artificial intelligence; Engineering; Physics; Biology","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":[0.0001489764,0.0002607656,0.0001932165,0.0001171588,0.0001574568,0.000259971,0.000345542,0.0001744806,0.000611091],"category_scores_gemma":[0.0002803539,0.000099086,0.0001707446,0.00008664718,0.0002919189,0.0001832449,0.0003179229,0.000270259,0.0001120268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001741296,"about_ca_system_score_gemma":0.0002324724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001931451,"about_ca_topic_score_gemma":0.001873237,"domain_scores_codex":[0.9999245,0.00001216338,0.000004731376,0.00001763277,0.000033466,0.000007403125],"domain_scores_gemma":[0.9999031,0.00002760024,0.00002479384,0.0000100267,0.0000289629,0.000005464276],"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":[0.0002410373,0.00005809074,0.00088231,0.0002594457,0.00004254746,0.0001947568,0.0002506341,0.6956572,0.150378,0.01481387,0.000771691,0.1364503],"study_design_scores_gemma":[0.00001130259,0.0001220189,0.0002935205,0.000003864902,0.000005140104,0.00001830327,0.000006298521,0.9922323,0.005490973,0.0003688879,0.001442829,0.00000454882],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08242056,0.0002371054,0.9126875,0.00007222685,0.00008439851,0.00003729408,0.0000129978,0.0003030769,0.00414488],"genre_scores_gemma":[0.9655002,0.000141302,0.03069914,0.00002177103,0.00002052189,0.00003759487,0.00001803767,0.000007518629,0.003553814],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001931451,"threshold_uncertainty_score":0.003840387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004735678216486232,"score_gpt":0.2215488365132504,"score_spread":0.2168131582967642,"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."}}