{"id":"W2359529830","doi":"","title":"Solving robust controller of pure unstable process usingmirror-injection method","year":2004,"lang":"en","type":"article","venue":"Systems engineering and electronics","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"L'Alliance Boviteq","funders":"","keywords":"Control theory (sociology); Robustness (evolution); Mathematics; Robust control; Complex plane; Minimum phase; Pole–zero plot; Phase plane; Plane (geometry); Singular value; Open-loop controller; Controller (irrigation); Closed loop; Control system; Phase (matter); Transfer function; Mathematical analysis; Engineering; Computer science; Geometry; Physics; Control engineering; Control (management); 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004780605,0.0002678224,0.0004942834,0.0001882076,0.00007602591,0.00007992852,0.000096198,0.0001612024,0.000001425743],"category_scores_gemma":[0.00005095358,0.0002693528,0.00006069092,0.0003029982,0.00001131903,0.0001894437,0.00001021742,0.0003633644,0.000002457031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002552619,"about_ca_system_score_gemma":0.00004955701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006991074,"about_ca_topic_score_gemma":0.00001118197,"domain_scores_codex":[0.9986303,0.0000369378,0.0004066227,0.0002271212,0.0001974076,0.0005016053],"domain_scores_gemma":[0.9995173,0.00005760834,0.00008410139,0.0001524631,0.0001132616,0.00007524222],"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":[0.000008351441,0.000007394081,0.00006174168,0.0007026669,0.0001189648,0.000001679061,0.0005249359,0.9582608,0.03763935,0.002473239,0.00001311582,0.0001877447],"study_design_scores_gemma":[0.001161815,0.0001308921,0.00005474097,0.000413846,0.00004224945,0.0001306005,0.0001977757,0.9929,0.00350382,0.00004986011,0.001090202,0.0003241664],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2210935,0.01690906,0.7595916,0.00001657221,0.0007036015,0.0005336131,0.000005879573,0.000669686,0.0004765257],"genre_scores_gemma":[0.9981672,0.00005189036,0.001412169,0.000002831874,0.0001550883,0.00005436075,0.000004198119,0.00007813628,0.00007408629],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7770738,"threshold_uncertainty_score":0.9999759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005709595939735887,"score_gpt":0.2094899312983614,"score_spread":0.2037803353586256,"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."}}