{"id":"W4415531283","doi":"10.1177/10775463251390593","title":"Coordinated control of DBS and RWS based on the hybrid of data-driven model-free control and fuzzy allocation","year":2025,"lang":"en","type":"article","venue":"Journal of Vibration and Control","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Innovation, Science and Economic Development Canada","funders":"National Key Research and Development Program of China","keywords":"Control theory (sociology); Yaw; Fuzzy logic; Moment (physics); Stability (learning theory); Torque; Vehicle dynamics; Fuzzy control system","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":[0.0005068702,0.0001429852,0.0004507141,0.0001696592,0.0000558773,0.00003948353,0.0001793951,0.00006090035,0.000002623642],"category_scores_gemma":[0.0002633049,0.000106991,0.00003929331,0.0001005373,0.00006495837,0.00041077,0.00001457524,0.0001405884,9.311879e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002364129,"about_ca_system_score_gemma":0.00005642235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004680518,"about_ca_topic_score_gemma":0.000007888274,"domain_scores_codex":[0.9988132,0.0001239133,0.0006518344,0.0001242093,0.0001815908,0.0001052598],"domain_scores_gemma":[0.9985077,0.0004476186,0.0004081296,0.0002931271,0.0002910213,0.00005238701],"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":[0.0006697279,0.00003518246,0.0003975076,0.00008988446,0.0002370053,0.00000122214,0.00004450926,0.9422158,0.04680048,0.005321929,0.0002601739,0.003926595],"study_design_scores_gemma":[0.00996933,0.0001491256,0.0007700638,0.0001276753,0.0001916665,0.000005282012,0.00003969187,0.9871732,0.0006739512,0.0007580477,0.00006311596,0.00007882607],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01097366,0.001102138,0.9844746,0.002500997,0.00008000196,0.00050299,0.0001144529,0.00001753469,0.0002336431],"genre_scores_gemma":[0.9983836,0.00009526152,0.00103553,0.0004085347,0.00003631351,0.00001104846,0.000007315402,0.00001269449,0.000009633593],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.98741,"threshold_uncertainty_score":0.4362967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008276027643395214,"score_gpt":0.2188742549748207,"score_spread":0.2105982273314255,"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."}}