{"id":"W2967433175","doi":"10.1016/j.isatra.2019.08.010","title":"Improvement of sliding mode controller by using a new adaptive reaching law: Theory and experiment","year":2019,"lang":"en","type":"article","venue":"ISA Transactions","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":70,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Sliding mode control; Control theory (sociology); Law; Controller (irrigation); Nonlinear system; Convergence (economics); Computer science; Mode (computer interface); Control engineering; Engineering; Control (management); Artificial intelligence; Physics; Political science","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":[0.0008315124,0.0004536397,0.0004715507,0.0004211861,0.000329969,0.0003759219,0.0005713532,0.0009601882,0.001742307],"category_scores_gemma":[0.001525132,0.000218167,0.0003523832,0.0002456881,0.0004963578,0.0007795458,0.0003867434,0.0004995891,0.0001652352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002042448,"about_ca_system_score_gemma":0.0002976388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001105009,"about_ca_topic_score_gemma":0.0005573956,"domain_scores_codex":[0.9995902,0.00007903563,0.00002683587,0.00007969678,0.0001810704,0.00004314351],"domain_scores_gemma":[0.9987679,0.0005143168,0.00007356253,0.0001995967,0.0004074826,0.00003707945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002989503,0.001156697,0.00396311,0.001081623,0.000194509,0.000286183,0.0006272944,0.1068628,0.6297313,0.007764352,0.00141111,0.2439315],"study_design_scores_gemma":[0.0004598482,0.004503988,0.006720821,0.00003792916,0.0001825171,0.0002141583,0.00010127,0.7993404,0.184215,0.001437981,0.002700258,0.00008579547],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.675314,0.0007445152,0.3132027,0.0003510558,0.0003232973,0.0002509689,0.00005704469,0.001461194,0.008295282],"genre_scores_gemma":[0.9766044,0.00009378843,0.02219881,0.00002861594,0.00001308785,0.00004699268,0.00002492998,0.00001621526,0.0009733164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001742307,"threshold_uncertainty_score":0.005828559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01459562019312936,"score_gpt":0.2401206869336558,"score_spread":0.2255250667405265,"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."}}