{"id":"W2036805960","doi":"10.1155/2014/357864","title":"Adaptive PI‐Based Sliding Mode Control for Nanopositioning of Piezoelectric Actuators","year":2014,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Piezoelectric Actuators and Control","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"National Key Scientific Instrument and Equipment Development Projects of China","keywords":"Control theory (sociology); Sliding mode control; PID controller; Actuator; Controller (irrigation); Convergence (economics); Adaptive control; Nonlinear system; Lyapunov stability; Lyapunov function; Tracking error; Stability (learning theory); Control engineering; Engineering; Computer science; Control (management); Temperature control; Physics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003233514,0.0003931734,0.0003323102,0.0002077559,0.0002291256,0.000323492,0.0007433954,0.0003592893,0.0006630556],"category_scores_gemma":[0.0005793386,0.0002125576,0.0003502804,0.000191318,0.0003442709,0.0004033914,0.0003395382,0.0004304734,0.0001362958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001936636,"about_ca_system_score_gemma":0.0002491498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009354214,"about_ca_topic_score_gemma":0.0007237183,"domain_scores_codex":[0.9997528,0.00003867011,0.00001901587,0.00006756115,0.0001051715,0.00001682144],"domain_scores_gemma":[0.9998375,0.00006086383,0.00002890923,0.00001611384,0.00005016023,0.000006329582],"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":[0.0003752235,0.000111401,0.001169994,0.0006218521,0.0001428715,0.000322545,0.0003217832,0.4220207,0.1847616,0.01906191,0.00127775,0.3698123],"study_design_scores_gemma":[0.00001999399,0.0002096007,0.0003283712,0.000008596628,0.00002084142,0.00005869874,0.000009022283,0.9841813,0.01208711,0.000925775,0.002140049,0.00001064646],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01509083,0.0004662065,0.9823744,0.00004056516,0.00007072801,0.00002463585,0.000007524941,0.00021126,0.00171385],"genre_scores_gemma":[0.889791,0.0007073069,0.1060918,0.0000616691,0.00005512169,0.000146423,0.00003725408,0.00002380703,0.003085566],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009354214,"threshold_uncertainty_score":0.002218068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005979025671836746,"score_gpt":0.1929335363205657,"score_spread":0.1869545106487289,"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."}}