{"id":"W4413394181","doi":"10.1109/tcsii.2025.3601156","title":"Hysteresis-Estimator-Based Adaptive Fuzzy Control for Piezoelectric Micro-Positioning Stage With Time-Varying Output Constraints","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Circuits & Systems II Express Briefs","topic":"Piezoelectric Actuators and Control","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Science Foundation of Chongqing; National Natural Science Foundation of China","keywords":"Control theory (sociology); Hysteresis; Estimator; Fuzzy logic; Piezoelectricity; Stage (stratigraphy); Computer science; Fuzzy control system; Control (management); Mathematics; Engineering; Physics; Statistics; Artificial intelligence; Geology","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":[0.0002641468,0.0006010266,0.0008477166,0.0005653346,0.0008077284,0.0002207119,0.0003428411,0.0002762686,0.00002510461],"category_scores_gemma":[0.00001263659,0.0006074163,0.0002569673,0.0006193886,0.0001130758,0.0002923126,0.00000129921,0.000455996,0.00002322956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004302583,"about_ca_system_score_gemma":0.0003631481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000704142,"about_ca_topic_score_gemma":0.000005051864,"domain_scores_codex":[0.9972974,0.0001258188,0.0007063852,0.0006416882,0.000378359,0.0008503364],"domain_scores_gemma":[0.9981917,0.0006715325,0.0001672475,0.0004897291,0.0002785728,0.0002012307],"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":[0.0005115727,0.0003380066,0.00001644523,0.0008066508,0.001621072,0.00004397491,0.0003302862,0.8132849,0.0648519,0.0007518303,0.001092641,0.1163508],"study_design_scores_gemma":[0.01053532,0.0008318951,0.00001461507,0.001758049,0.0006882622,0.00006522611,0.0001517609,0.9567646,0.02647606,0.00003828872,0.001438799,0.001237073],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005139291,0.0007812271,0.9865732,0.00005030176,0.0006641846,0.002335141,0.0006672039,0.0008080964,0.002981351],"genre_scores_gemma":[0.9964648,0.00000709451,0.000441574,0.0001729413,0.00009374831,0.001426655,0.00001713593,0.0001215528,0.00125444],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9913256,"threshold_uncertainty_score":0.9996377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008632058508156598,"score_gpt":0.2027114162395693,"score_spread":0.1940793577314127,"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."}}