{"id":"W3201632841","doi":"10.1109/cdc45484.2021.9683089","title":"Model Reference Adaptive Control with Linear-like Closed-loop Behavior","year":2021,"lang":"en","type":"preprint","venue":"2021 60th IEEE Conference on Decision and Control (CDC)","topic":"Control Systems and Identification","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Adaptive control; Bounded function; Estimator; Controller (irrigation); Mathematics; Exponential stability; Linear system; Adaptive estimator; Reference model; Convex combination; Projection (relational algebra); Mathematical optimization; Computer science; Regular polygon; Convex optimization; Control (management); Nonlinear system; Algorithm; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007924092,0.0008401161,0.0007058672,0.0002111583,0.000296637,0.001203873,0.0007559536,0.001210648,0.002821464],"category_scores_gemma":[0.002383926,0.000238348,0.0004296733,0.0003540713,0.0007743561,0.0007775038,0.0008864061,0.001111307,0.0009864626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003429523,"about_ca_system_score_gemma":0.000392573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001823183,"about_ca_topic_score_gemma":0.001062979,"domain_scores_codex":[0.9992808,0.000160678,0.0000365633,0.0001942715,0.0002700137,0.00005767584],"domain_scores_gemma":[0.9990947,0.0003252017,0.0001885945,0.0001340662,0.00023647,0.00002106563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001953648,0.0001692619,0.0008172171,0.000925454,0.0001433833,0.0004802898,0.0005962878,0.6769731,0.05320273,0.1288846,0.004808756,0.1328035],"study_design_scores_gemma":[0.00003005492,0.0003389152,0.0002665888,0.00002831074,0.000016818,0.0001411846,0.00002196513,0.9782521,0.004934928,0.01280547,0.003145066,0.0000187129],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007728836,0.0003208212,0.9826859,0.0001501174,0.00003634103,0.0000436591,0.00002897255,0.0008885377,0.008116801],"genre_scores_gemma":[0.9258142,0.0004085487,0.06419732,0.0004103848,0.00009760972,0.0002748386,0.0001456538,0.00009797551,0.00855357],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002821464,"threshold_uncertainty_score":0.009438753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04869674199324572,"score_gpt":0.2629119483049743,"score_spread":0.2142152063117286,"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."}}