{"id":"W4322731059","doi":"10.1109/taslp.2023.3250826","title":"PI Control of Loudspeakers Based on Linear Fractional Order Model","year":2023,"lang":"en","type":"article","venue":"IEEE/ACM Transactions on Audio Speech and Language Processing","topic":"Advanced Control Systems Design","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; Université du Québec à Trois-Rivières","funders":"","keywords":"Loudspeaker; Control theory (sociology); Controller (irrigation); Pole–zero plot; Stability (learning theory); Control system; Minimum phase; Integer (computer science); PID controller; Fractional calculus; Mathematics; Vibration; Order (exchange); Phase (matter); Computer science; Transfer function; Physics; Mathematical analysis; Control (management); Engineering; Control engineering; Acoustics; Temperature control","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":[0.0002428605,0.0004023017,0.0004116606,0.000214172,0.0003220632,0.000712238,0.0006484891,0.0004837363,0.001266276],"category_scores_gemma":[0.0005675631,0.0001772089,0.0003430989,0.0002011798,0.0003681566,0.0004118338,0.0002852559,0.000506599,0.0002104992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000359528,"about_ca_system_score_gemma":0.0003770812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002284948,"about_ca_topic_score_gemma":0.001620753,"domain_scores_codex":[0.9997857,0.00003577675,0.00001118748,0.00004810776,0.00009558052,0.00002365396],"domain_scores_gemma":[0.9998548,0.0000605022,0.00002939783,0.00001410701,0.00003413387,0.000006994166],"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":[0.0003535356,0.0001086446,0.0005845007,0.0004055208,0.00006786213,0.0003630239,0.00029062,0.7152403,0.1423438,0.02849046,0.001007559,0.1107441],"study_design_scores_gemma":[0.00001467532,0.0001175813,0.0001203226,0.000009143798,0.00001326206,0.00004077025,0.00001115147,0.9896262,0.00697688,0.001790452,0.001270703,0.000008940939],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0221667,0.0003345278,0.9721798,0.00008180572,0.00007952486,0.00003446937,0.00001987828,0.0004414173,0.004661745],"genre_scores_gemma":[0.9507586,0.0003308005,0.04475105,0.00005401246,0.00003259847,0.00006462583,0.00002651331,0.00002754449,0.003954268],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002284948,"threshold_uncertainty_score":0.004543304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01174102712144224,"score_gpt":0.2483903584648548,"score_spread":0.2366493313434126,"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."}}