{"id":"W2168708442","doi":"10.1109/cdc.2004.1429261","title":"Stabilization of networked control systems with data packet dropout and network delays via switching system approach","year":2004,"lang":"en","type":"article","venue":"2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601)","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":222,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Alberta","keywords":"Dropout (neural networks); Control theory (sociology); Network packet; Computer science; Networked control system; Stability (learning theory); State (computer science); Control system; Linear system; Control (management); Mathematics; Engineering; Algorithm; Computer network","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001766364,0.0008929141,0.00190574,0.0002389562,0.0003443146,0.0004246693,0.0008685946,0.0005030815,0.00001231133],"category_scores_gemma":[0.0001330705,0.0007283923,0.0001367396,0.0004714488,0.0002364551,0.0006116452,0.00006181635,0.0005111154,0.00002843779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003036672,"about_ca_system_score_gemma":0.000259826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000426193,"about_ca_topic_score_gemma":0.0002555986,"domain_scores_codex":[0.9947924,0.0003606112,0.001593345,0.001278552,0.0009858193,0.0009892732],"domain_scores_gemma":[0.9956688,0.0008367471,0.0004993689,0.001805375,0.0006735565,0.0005161837],"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":[0.002553152,0.0002078065,0.002202804,0.0009563396,0.0006304869,0.00003785263,0.0004702747,0.9674979,0.005709413,0.003221564,0.000561974,0.01595047],"study_design_scores_gemma":[0.01252353,0.0005559978,0.0003578394,0.001514097,0.000303073,0.00009878964,0.0007678414,0.9824187,0.00003576271,0.0003023743,0.0003097694,0.0008121936],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1999994,0.002037291,0.7923517,0.00006072342,0.001620187,0.00224559,0.0002169289,0.0003632592,0.001104909],"genre_scores_gemma":[0.9970062,0.0002937115,0.001472447,0.0001171081,0.000691433,0.0001988806,0.00006527381,0.0001207138,0.00003425658],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7970068,"threshold_uncertainty_score":0.9995167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02086558518873374,"score_gpt":0.219908558800745,"score_spread":0.1990429736120113,"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."}}