{"id":"W2986666816","doi":"10.1002/pamm.201900042","title":"Funnel control for linear non‐minimum phase systems","year":2019,"lang":"en","type":"article","venue":"PAMM","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Berger (Canada)","funders":"","keywords":"Funnel; Control theory (sociology); Controller (irrigation); Trajectory; SIGNAL (programming language); Minimum phase; Linear system; Computer science; Bounded function; Tracking (education); Phase (matter); Control system; Mathematics; Control (management); Engineering; Physics; Artificial intelligence; Mathematical analysis","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001006501,0.00060605,0.0005195172,0.0003952665,0.0002671158,0.001042343,0.0006146819,0.000438272,0.001396747],"category_scores_gemma":[0.002054438,0.000182287,0.0003379802,0.0002728212,0.0007219617,0.0007542087,0.001036487,0.0005366546,0.0001441448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000567409,"about_ca_system_score_gemma":0.0003336816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001216828,"about_ca_topic_score_gemma":0.0006363031,"domain_scores_codex":[0.9996688,0.00009140857,0.00002236017,0.00005263148,0.0001242738,0.00004042529],"domain_scores_gemma":[0.999267,0.0003282831,0.0001728679,0.00004897993,0.0001516991,0.00003124073],"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":[0.0004928818,0.0001341285,0.0008129974,0.0005487524,0.00008277071,0.0002605133,0.000322103,0.7852061,0.05846323,0.08351626,0.0008306025,0.06932958],"study_design_scores_gemma":[0.00003764855,0.0002281727,0.000230551,0.00002097411,0.00001166094,0.0000270801,0.00001716167,0.9784954,0.006555169,0.0134838,0.0008798868,0.00001244603],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05371325,0.0003860012,0.9417233,0.0001127712,0.0000491395,0.00004163623,0.00002742448,0.0002715363,0.003674902],"genre_scores_gemma":[0.9809902,0.0002006865,0.01646154,0.00004302598,0.00001595924,0.00005319763,0.00002709053,0.00001578309,0.002192589],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001396747,"threshold_uncertainty_score":0.005322933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01296073764495017,"score_gpt":0.2467743950770041,"score_spread":0.233813657432054,"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."}}