{"id":"W2898671450","doi":"10.22215/etd/2018-13222","title":"Simple Adaptive Control for Spacecraft Trajectory Tracking Under Uncertainties and Perturbations","year":2018,"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":"Spacecraft; Control theory (sociology); Towing; Trajectory; Perturbation (astronomy); Debris; Adaptive control; Collision; Tracking (education); Computer science; Engineering; Control engineering; Aerospace engineering; Control (management); Physics; Marine engineering; Artificial intelligence; Meteorology","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":[0.0001092281,0.0003441487,0.0004441889,0.0001448083,0.0001357923,0.000100987,0.00008321774,0.0003150103,0.0001240084],"category_scores_gemma":[0.00002519107,0.0003131742,0.0001485349,0.00006847157,0.00002889365,0.0001212909,0.000002380672,0.0001507672,0.00001049747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007826521,"about_ca_system_score_gemma":0.00004997061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001411136,"about_ca_topic_score_gemma":0.004176894,"domain_scores_codex":[0.9989792,0.00001896211,0.0002766652,0.0002781023,0.0001375226,0.0003095659],"domain_scores_gemma":[0.9992777,0.0002017895,0.00007053996,0.000170472,0.0001996448,0.00007986777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004095895,0.0004199848,0.001539728,0.01260988,0.01976152,0.00002491513,0.08165628,0.06864114,0.1126318,0.1614296,0.2030375,0.3341517],"study_design_scores_gemma":[0.009562311,0.00107712,0.02187692,0.0008755058,0.001817051,0.00001406621,0.1243406,0.6167011,0.005131188,0.01056961,0.203624,0.004410583],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2611527,0.03851585,0.5758457,0.0003538597,0.009151309,0.0103426,0.001090142,0.003005086,0.1005428],"genre_scores_gemma":[0.9822205,0.0001042204,0.0003990073,0.00005430654,0.0005287595,0.000310587,0.000286138,0.0001123071,0.01598412],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7210679,"threshold_uncertainty_score":0.9999321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01400750044283096,"score_gpt":0.2378127146428843,"score_spread":0.2238052142000533,"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."}}