{"id":"W2155835119","doi":"10.1109/ccece.2011.6030514","title":"A combination of open and closed-loop control for disturbance rejection","year":2011,"lang":"en","type":"article","venue":"","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Disturbance (geology); Control theory (sociology); Controller (irrigation); Wideband; Open-loop controller; Computer science; Loop (graph theory); Internal model; Adaptive control; Closed loop; Stability (learning theory); Control (management); Control engineering; Engineering; Mathematics; Electronic engineering; 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":[],"consensus_categories":[],"category_scores_codex":[0.0001323422,0.000059446,0.0001476835,0.00002741142,0.00001655818,0.00001182728,0.00008374085,0.00003240504,0.00001035749],"category_scores_gemma":[0.00002899689,0.00005375602,0.00001972066,0.0000354947,0.00001523425,0.0001638018,0.00001244978,0.00002522353,0.000001874443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000162241,"about_ca_system_score_gemma":0.000004334187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008602087,"about_ca_topic_score_gemma":0.0000412729,"domain_scores_codex":[0.9996553,0.00001114769,0.0001457941,0.00007777446,0.00003957944,0.0000703982],"domain_scores_gemma":[0.9997437,0.00004686737,0.00003608637,0.00008426153,0.00006778354,0.00002128159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003333183,0.001098239,0.08917809,0.002137763,0.001924424,0.000008776697,0.00518568,0.001490502,0.1739102,0.5466899,0.02449163,0.1505516],"study_design_scores_gemma":[0.01607081,0.001016249,0.205875,0.0001335568,0.0001233871,0.000009803423,0.0004107187,0.743464,0.0191105,0.005038969,0.00817031,0.00057672],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1465255,0.0005032843,0.8127919,0.00006106248,0.0004653962,0.002104837,0.00003872644,0.000169065,0.03734022],"genre_scores_gemma":[0.9971146,0.000004549696,0.002186256,0.00001357927,0.00002658677,0.00006212713,0.000002583648,0.00001305569,0.0005766681],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.850589,"threshold_uncertainty_score":0.2192107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0317980096542249,"score_gpt":0.2445730562048493,"score_spread":0.2127750465506244,"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."}}