{"id":"W2120907508","doi":"10.1109/icsmc.2009.5346915","title":"Robust tracking using hybrid control system","year":2009,"lang":"en","type":"article","venue":"","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Control theory (sociology); Controller (irrigation); Parametric statistics; Lyapunov function; Computer science; Trajectory; Sliding mode control; Robust control; Set (abstract data type); Control system; Mathematics; Artificial intelligence; Control (management); Engineering; Nonlinear system","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":[],"consensus_categories":[],"category_scores_codex":[0.000163162,0.0001760571,0.0002971947,0.00007763104,0.00005110499,0.00005715635,0.0001258945,0.00004838915,0.00001837246],"category_scores_gemma":[0.00001414695,0.0001642715,0.00008449449,0.00008032739,0.000009357989,0.0001864401,0.000004229194,0.000116564,0.00007269959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001856197,"about_ca_system_score_gemma":0.00001149322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001158814,"about_ca_topic_score_gemma":0.000002808181,"domain_scores_codex":[0.9990652,0.00002711675,0.0002973339,0.0001525706,0.0001585945,0.0002992074],"domain_scores_gemma":[0.999575,0.00003975422,0.00003511629,0.0002004471,0.00006224931,0.00008747689],"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":[0.00002095654,0.00002253392,0.0002629711,0.00009046136,0.000123705,0.0001531398,0.00004859428,0.9438146,0.04379522,0.002488345,0.0009999647,0.00817949],"study_design_scores_gemma":[0.0007287765,0.00002444061,0.0005652116,0.00007583052,0.00002683163,0.0001049581,0.00008498663,0.9963343,0.0009338006,0.000005452882,0.0009121391,0.0002032573],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05517135,0.0006333955,0.9237177,0.00004151946,0.0005584832,0.0003033933,0.0000124135,0.001320532,0.01824116],"genre_scores_gemma":[0.9954157,0.000001112388,0.003877295,0.00006985818,0.0005071138,0.000002490639,0.000001740484,0.00003299291,0.00009172558],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9402443,"threshold_uncertainty_score":0.6698798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03170333744938519,"score_gpt":0.2138142015163443,"score_spread":0.1821108640669591,"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."}}