{"id":"W2003869762","doi":"10.1177/1077546314548205","title":"A new tracking error-based adaptive controller for servo-hydraulic actuator control","year":2014,"lang":"en","type":"article","venue":"Journal of Vibration and Control","topic":"Hydraulic and Pneumatic Systems","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Actuator; Tracking error; Controller (irrigation); Overshoot (microwave communication); Servomechanism; Hydraulic cylinder; Servo; Computer science; Compensation (psychology); Control engineering; Engineering; Control (management); 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":[0.0003904482,0.000501,0.0004071592,0.0003831751,0.0002847429,0.0005044494,0.001232248,0.000534947,0.00109521],"category_scores_gemma":[0.0006541437,0.0001518703,0.0002710021,0.000302827,0.0002746107,0.0004640128,0.0004161897,0.0006951318,0.0002583796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003948857,"about_ca_system_score_gemma":0.0004629366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001992662,"about_ca_topic_score_gemma":0.002186234,"domain_scores_codex":[0.9996049,0.00002806297,0.0000293083,0.00008767568,0.0002300994,0.00001995183],"domain_scores_gemma":[0.9996954,0.00007253425,0.00005067746,0.0000176296,0.0001502138,0.00001365358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002818143,0.0001565808,0.001159411,0.0006501209,0.0001220544,0.0002503296,0.0002592672,0.2500917,0.1931458,0.01323852,0.003211616,0.5374328],"study_design_scores_gemma":[0.00004080164,0.0002212054,0.0006051268,0.00002606684,0.0000293863,0.0001129402,0.00001093256,0.9688954,0.02110096,0.0006614885,0.008267148,0.00002859845],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00766141,0.0003477273,0.9890912,0.00004257708,0.0001061719,0.00005542782,0.000016054,0.0005959501,0.002083506],"genre_scores_gemma":[0.76922,0.0005135196,0.2223967,0.0002021551,0.0001075771,0.0003258993,0.0001095691,0.00005895681,0.00706558],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001992662,"threshold_uncertainty_score":0.0039621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01216989275684512,"score_gpt":0.2184259099361082,"score_spread":0.2062560171792631,"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."}}