{"id":"W2040444867","doi":"10.1007/s00034-013-9572-9","title":"Adaptive Dynamic Sliding Mode Control for Near Space Vehicles Under Actuator Faults","year":2013,"lang":"en","type":"article","venue":"Circuits Systems and Signal Processing","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Control theory (sociology); Actuator; Sliding mode control; Track (disk drive); Mode (computer interface); Computer science; Fault (geology); Control engineering; Fault tolerance; Control (management); Engineering; Physics; Nonlinear system; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002494887,0.0003576467,0.0005770593,0.00009745845,0.0003242189,0.0004069253,0.0001560736,0.0001928111,0.000004944983],"category_scores_gemma":[0.00002500189,0.0003281609,0.00008747415,0.0001242215,0.00005996345,0.0006368439,0.00001658657,0.0001983569,0.00002699226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001603139,"about_ca_system_score_gemma":0.0000765339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009139727,"about_ca_topic_score_gemma":0.000009735299,"domain_scores_codex":[0.9982957,0.00005454406,0.0004746641,0.0003861906,0.0002490293,0.0005398928],"domain_scores_gemma":[0.9989693,0.000236325,0.0001553422,0.0001490268,0.0002830726,0.0002069541],"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":[0.00009942895,0.0001013948,0.0006108043,0.004564022,0.0009342958,0.00002306481,0.004119336,0.4349672,0.402437,0.003579773,0.0008533906,0.1477103],"study_design_scores_gemma":[0.00131922,0.0000774707,0.000379896,0.0005098781,0.00005138687,0.00002755673,0.001630023,0.9949065,0.0001486932,0.0002282676,0.0003132791,0.0004077938],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2074355,0.008206398,0.7815115,0.00006322539,0.0002898689,0.001639009,0.00005620701,0.0003781488,0.0004202162],"genre_scores_gemma":[0.9985398,0.000007204212,0.0004696792,0.00004123625,0.0003314586,0.0002861535,0.000006829023,0.0001120544,0.0002055712],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7911044,"threshold_uncertainty_score":0.999917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01629528318352635,"score_gpt":0.2316052161760775,"score_spread":0.2153099329925512,"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."}}