{"id":"W4395039468","doi":"10.1002/acs.3813","title":"Inherent robustness in the adaptive control of a large class of systems","year":2024,"lang":"en","type":"article","venue":"International Journal of Adaptive Control and Signal Processing","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; King Abdullah University of Science and Technology","keywords":"Robustness (evolution); Control theory (sociology); Adaptive control; Upper and lower bounds; Mathematics; LTI system theory; Exponential stability; Exponential function; Linear system; Robust control; Invariant (physics); Control system; Computer science; Control (management); Engineering; Nonlinear system; Mathematical analysis; 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":[0.001368509,0.0005598955,0.000511537,0.0005363942,0.0003378056,0.00115113,0.0004802343,0.0007373337,0.000905516],"category_scores_gemma":[0.004355505,0.0002386871,0.0007299362,0.0003336689,0.001317906,0.0008957872,0.001067002,0.001076956,0.0001202372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004883387,"about_ca_system_score_gemma":0.0003274219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008040208,"about_ca_topic_score_gemma":0.0002484235,"domain_scores_codex":[0.9991825,0.0001616086,0.00004430189,0.0001880417,0.0003490424,0.00007449053],"domain_scores_gemma":[0.9979239,0.001345242,0.0002723096,0.0002162534,0.0001928417,0.00004953587],"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":[0.0001878543,0.00007780549,0.001872975,0.0002404071,0.0002819514,0.0006671009,0.000278642,0.6802276,0.07593046,0.1965255,0.0008689681,0.04284072],"study_design_scores_gemma":[0.00001294642,0.00008719123,0.0008600387,0.00001333399,0.00001766899,0.0001180301,0.000015009,0.9566254,0.005191299,0.03600277,0.001042783,0.00001362727],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1309336,0.0008365361,0.8592583,0.000394965,0.00008594597,0.00003563267,0.00003769235,0.0003106664,0.008106665],"genre_scores_gemma":[0.9854614,0.0003245393,0.01261277,0.00007351099,0.0001098992,0.00004450174,0.00003251389,0.00002376874,0.001317122],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001368509,"threshold_uncertainty_score":0.007237434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01647524541765601,"score_gpt":0.2552400603632078,"score_spread":0.2387648149455519,"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."}}