{"id":"W4403430913","doi":"10.9734/arjom/2024/v20i10849","title":"Adaptive Position Control of Electrohydraulic Servo Systems with Parameter Uncertainty using Artificial Bee Colony Optimization Algorithm","year":2024,"lang":"en","type":"article","venue":"Asian Research Journal of Mathematics","topic":"Hydraulic and Pneumatic Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Malting (Canada)","funders":"","keywords":"Artificial bee colony algorithm; Position (finance); Servomechanism; Control theory (sociology); Computer science; Control engineering; Control (management); Engineering; Artificial intelligence; Business","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":[0.0002967536,0.000596024,0.0003786132,0.0001782303,0.0002155444,0.0003744087,0.0006161169,0.0004985223,0.0004198325],"category_scores_gemma":[0.0006638416,0.0002206463,0.0002476016,0.0001885026,0.0003585253,0.0002993422,0.0004229812,0.0003763213,0.0000658151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001870666,"about_ca_system_score_gemma":0.0003131145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003111414,"about_ca_topic_score_gemma":0.002039802,"domain_scores_codex":[0.9998305,0.00003104688,0.00001123069,0.00004212107,0.00006767977,0.00001740167],"domain_scores_gemma":[0.999798,0.00008230374,0.00004793241,0.00001250489,0.00005176614,0.000007533965],"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":[0.00005062564,0.00002631616,0.0003953882,0.00008359599,0.00003728841,0.0001246565,0.00009428117,0.9423283,0.01623593,0.001942027,0.0002638033,0.03841772],"study_design_scores_gemma":[0.000008043968,0.00004312248,0.0001570196,0.000003189789,0.000004771546,0.00001167228,0.000003995386,0.9985458,0.0007874934,0.0002407912,0.0001911915,0.00000301763],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07732148,0.0004592616,0.9189342,0.00009980463,0.00005126353,0.00003531172,0.00001400322,0.000233385,0.002851227],"genre_scores_gemma":[0.9754749,0.0001119591,0.02333945,0.00003454114,0.00001089928,0.00005294508,0.00001401661,0.000009794472,0.0009516233],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003111414,"threshold_uncertainty_score":0.006186604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03902988567996948,"score_gpt":0.3005499901185127,"score_spread":0.2615201044385432,"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."}}