{"id":"W4352977377","doi":"10.1109/lcsys.2023.3260162","title":"Zonotopic Under-Approximations of Input Reachable Sets for Controllable Linear Systems","year":2023,"lang":"en","type":"article","venue":"IEEE Control Systems Letters","topic":"Control Systems and Identification","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Approximations of π; Hausdorff distance; Hausdorff space; Mathematics; Linear system; Exponential function; Computer science; Matrix (chemical analysis); LTI system theory; Invariant (physics); Algorithm; Applied mathematics; Control theory (sociology); Control (management); Discrete mathematics; Mathematical analysis; 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":[0.0009190438,0.000286335,0.0008206242,0.0003583604,0.0001394066,0.0001458946,0.0002688463,0.0001687301,0.000002614266],"category_scores_gemma":[0.00006156164,0.0002869803,0.0002070608,0.00041897,0.00003641328,0.0002447357,0.00000914999,0.0001251807,0.0001192775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001716866,"about_ca_system_score_gemma":0.0000333418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005581889,"about_ca_topic_score_gemma":0.00003100341,"domain_scores_codex":[0.9976223,0.0001238679,0.001049674,0.0003323534,0.0003295183,0.0005423549],"domain_scores_gemma":[0.9984213,0.000388005,0.0002776978,0.0005843613,0.0002180428,0.0001105552],"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":[0.00002291656,0.00001415402,0.0001410641,0.0009397027,0.0002843193,0.000001941772,0.000111362,0.6807857,0.2942657,0.001143,0.02218308,0.0001070733],"study_design_scores_gemma":[0.003543331,0.00004005325,0.0003026638,0.0002253209,0.0001038397,0.000007345805,0.0002180396,0.9780674,0.0004642538,0.00002634369,0.016698,0.0003033809],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4133631,0.002794499,0.556051,0.001636957,0.01406334,0.008617353,0.000761426,0.001930003,0.0007823722],"genre_scores_gemma":[0.996311,0.00001861324,0.00003473753,0.00006894529,0.0006901261,0.001805934,0.00007357499,0.00008316168,0.0009139046],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5829479,"threshold_uncertainty_score":0.9999582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02078941834075577,"score_gpt":0.2351924410464676,"score_spread":0.2144030227057118,"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."}}