{"id":"W2054768987","doi":"10.1109/cdc.2014.7039553","title":"Event-based controller design for a class of nolinear systems via convex optimization","year":2014,"lang":"en","type":"article","venue":"","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Lipschitz continuity; Convex optimization; Controller (irrigation); Control theory (sociology); Nonlinear system; Event (particle physics); Class (philosophy); Computer science; Generator (circuit theory); Regular polygon; Optimization problem; Scheme (mathematics); Mathematical optimization; Mathematics; Control (management); Power (physics); 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005525775,0.0001294383,0.0003805335,0.00005743814,0.00002781583,0.00002193115,0.0001012663,0.0001056859,0.00002104358],"category_scores_gemma":[0.00008990365,0.000112512,0.0001010985,0.00007519706,0.00002227808,0.00005469833,0.000003114617,0.00003974584,0.00000656051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004209708,"about_ca_system_score_gemma":0.00001963402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003532267,"about_ca_topic_score_gemma":0.000003693872,"domain_scores_codex":[0.999056,0.00008691365,0.000413159,0.0001298609,0.0001332447,0.0001808448],"domain_scores_gemma":[0.9989887,0.0005365193,0.0000674012,0.0001847991,0.0001700226,0.00005249524],"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":[0.0001077449,0.00001807357,0.00003422067,0.0002150048,0.00005005787,5.155178e-8,0.00002316362,0.9952238,0.00270754,0.0009622773,0.0003406888,0.0003174054],"study_design_scores_gemma":[0.002698366,0.0001350816,0.000006761408,0.00003313696,0.00002783004,4.906993e-7,0.00003968334,0.9934227,0.001752184,0.00003253628,0.001726902,0.0001242826],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.000584844,0.0001631433,0.9970055,0.00004874776,0.0003596802,0.001034848,0.000008522476,0.0001681578,0.000626514],"genre_scores_gemma":[0.992472,0.00000120197,0.007012623,0.00004590626,0.0001132293,0.0002300782,0.000007812117,0.00002579337,0.00009133891],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9918872,"threshold_uncertainty_score":0.4588107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01280497499368149,"score_gpt":0.2066205102648783,"score_spread":0.1938155352711969,"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."}}