{"id":"W2897658043","doi":"10.1093/imamci/dny040","title":"Event-based impulsive control for nonlinear systems and its application to synchronization of Chua’s circuit","year":2018,"lang":"en","type":"article","venue":"IMA Journal of Mathematical Control and Information","topic":"Neural Networks Stability and Synchronization","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China; University of New England; Ryerson University","keywords":"Control theory (sociology); Synchronization (alternating current); Nonlinear system; Computer science; Event (particle physics); Control (management); Physics; Artificial intelligence; Telecommunications","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0002220796,0.0002523132,0.0002144422,0.0002734275,0.0002018223,0.0003295125,0.0003407368,0.0003402923,0.0007288807],"category_scores_gemma":[0.0005246681,0.00009520361,0.0002174627,0.0002596994,0.0003814259,0.0002997241,0.0004024942,0.0003285996,0.0000452497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002355411,"about_ca_system_score_gemma":0.0001828977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009384692,"about_ca_topic_score_gemma":0.0005655301,"domain_scores_codex":[0.9999105,0.0000223343,0.00000588684,0.00001964465,0.00003373801,0.000008020475],"domain_scores_gemma":[0.9998688,0.00007234101,0.00002431983,0.000006943595,0.00001964501,0.000007981403],"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":[0.0001479054,0.00007222716,0.0007387072,0.0003040996,0.00005370877,0.0005832353,0.0003402604,0.6369693,0.05868248,0.2110269,0.0006870973,0.09039416],"study_design_scores_gemma":[0.000006613484,0.00005029472,0.0001683078,0.000007160066,0.00000942941,0.00003618128,0.00001461629,0.9866312,0.003205519,0.008912814,0.0009505319,0.00000727065],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04102457,0.0007660012,0.9513727,0.0001642113,0.0000857885,0.00002418203,0.00001318825,0.0001097166,0.006439617],"genre_scores_gemma":[0.9776589,0.0008189749,0.01910263,0.00004346385,0.00004205026,0.00004293118,0.00001560402,0.00001218848,0.002263193],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009384692,"threshold_uncertainty_score":0.002438307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007801532973339353,"score_gpt":0.2366738131212425,"score_spread":0.2288722801479032,"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."}}