{"id":"W4407920565","doi":"10.18280/jesa.580104","title":"Adaptive Sliding Mode Control for Maximum Power Point Tracking in Photovoltaic Systems","year":2025,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Photovoltaic system; Control theory (sociology); Maximum power point tracking; Sliding mode control; Tracking (education); Mode (computer interface); Power point; Power (physics); Maximum power principle; Computer science; Control (management); Engineering; Mathematics; Physics; Artificial intelligence; Electrical engineering; Psychology; Nonlinear system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003867408,0.0003689822,0.0004166307,0.0002076307,0.0002904257,0.0006111699,0.0004983069,0.0004883799,0.001993654],"category_scores_gemma":[0.001010122,0.0002110844,0.0003157122,0.0002925832,0.0003028989,0.0003544705,0.0004036574,0.0006566369,0.0002156116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002420611,"about_ca_system_score_gemma":0.0002324041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002539299,"about_ca_topic_score_gemma":0.002586942,"domain_scores_codex":[0.9998088,0.00005811041,0.00001329166,0.00003746058,0.00005773181,0.00002455329],"domain_scores_gemma":[0.9996886,0.0001689484,0.00003565515,0.00002288321,0.00007599791,0.000007909102],"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":[0.0003760461,0.0001273744,0.0006627155,0.0003064349,0.00009687641,0.0001374252,0.0002596694,0.7166488,0.02854714,0.007040247,0.001869878,0.2439274],"study_design_scores_gemma":[0.00002161662,0.00012911,0.0004345189,0.000009065164,0.000009890949,0.00001267314,0.00000981029,0.9961366,0.001555951,0.00113412,0.0005412182,0.000005342034],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09036081,0.0006171453,0.8994262,0.0002083612,0.0001912347,0.00005114712,0.00003262187,0.0004361558,0.008676405],"genre_scores_gemma":[0.9889808,0.0001258932,0.008260721,0.00002801678,0.00002418388,0.00004107712,0.00001738481,0.00001164921,0.002510196],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002539299,"threshold_uncertainty_score":0.006669462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01715800899305599,"score_gpt":0.2629668479819253,"score_spread":0.2458088389888693,"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."}}