{"id":"W3092128573","doi":"10.1007/s40435-020-00702-2","title":"A global optimization approach for sliding mode tuning and existence maps generation","year":2020,"lang":"en","type":"article","venue":"International Journal of Dynamics and Control","topic":"Numerical Methods and Algorithms","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Agencia Nacional de Promoción de la Investigación, el Desarrollo Tecnológico y la Innovación; Universidad Nacional de La Plata; Direction Générale de l’Armement; Consejo Nacional de Investigaciones Científicas y Técnicas","keywords":"Control theory (sociology); A priori and a posteriori; Sizing; Context (archaeology); Mode (computer interface); Nonlinear system; Global optimization; Interval (graph theory); Series (stratigraphy); Computer science; Sliding mode control; Power (physics); Mathematical optimization; Control (management); Mathematics; Artificial intelligence","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":[0.0009208649,0.001089107,0.001390456,0.0008658523,0.0006120527,0.0009855378,0.001049115,0.001314,0.005159762],"category_scores_gemma":[0.001562515,0.0006278833,0.001117517,0.0005206771,0.0007647007,0.0009328107,0.001678556,0.001274591,0.0008508782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000407878,"about_ca_system_score_gemma":0.0007770183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00161964,"about_ca_topic_score_gemma":0.001753956,"domain_scores_codex":[0.9996998,0.0000771726,0.00001886926,0.00007375302,0.0001018178,0.00002870406],"domain_scores_gemma":[0.9995022,0.0002565217,0.00003443241,0.00005362156,0.0001318894,0.00002129112],"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":[0.00006897752,0.00005867165,0.00016829,0.0001615411,0.00006687227,0.00006277529,0.0001152513,0.822835,0.008278306,0.03940998,0.001771376,0.1270028],"study_design_scores_gemma":[0.00000337368,0.0000257882,0.0000309294,0.000005767189,0.00000566538,0.00001067529,0.000005133134,0.9953722,0.0004309651,0.003649164,0.0004560282,0.000004305048],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001013968,0.00004251879,0.9976195,0.00002362861,0.0000145766,0.00001401517,0.000006419188,0.0000791006,0.001186298],"genre_scores_gemma":[0.3128095,0.0003276693,0.6761745,0.0001405705,0.00009906066,0.0003924099,0.0001371767,0.0003740616,0.009545041],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005159762,"threshold_uncertainty_score":0.01726115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0236990048038738,"score_gpt":0.2865947986139553,"score_spread":0.2628957938100815,"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."}}