{"id":"W4226183323","doi":"10.23977/jemm.2022.070106","title":"Design of H∞ Predictive Controller for Networked Control System","year":2022,"lang":"en","type":"article","venue":"Journal of Engineering Mechanics and Machinery","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Control theory (sociology); Dropout (neural networks); Network packet; Networked control system; Computer science; Model predictive control; Observer (physics); Compensation (psychology); Lyapunov function; Packet loss; Controller (irrigation); Linear matrix inequality; Bernoulli's principle; Control system; Control (management); Mathematics; Mathematical optimization; Engineering; Nonlinear system; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0005920595,0.000871732,0.0008225251,0.000390021,0.000671843,0.001062358,0.001359925,0.001159481,0.001802209],"category_scores_gemma":[0.0007990432,0.0003217993,0.0004972263,0.0003541891,0.0005789287,0.000686125,0.0008168793,0.001006361,0.0003955403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005511719,"about_ca_system_score_gemma":0.001234333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006809163,"about_ca_topic_score_gemma":0.003535043,"domain_scores_codex":[0.9994624,0.0000678799,0.00002831307,0.0001799159,0.0002095581,0.00005190574],"domain_scores_gemma":[0.9997827,0.00004400669,0.00003370621,0.00001810068,0.0001110136,0.00001047856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001723927,0.00008769477,0.0007730373,0.0006684863,0.0001014939,0.000547666,0.0003627972,0.7874956,0.02790969,0.02167189,0.003733575,0.1564756],"study_design_scores_gemma":[0.00002500049,0.0001055653,0.0002057633,0.00001556866,0.00001526412,0.00005071048,0.00001950114,0.9936275,0.002498983,0.001393646,0.002030115,0.0000123581],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005833602,0.0005221508,0.987808,0.0001389512,0.0001325125,0.000087204,0.00002163764,0.0005111362,0.004944813],"genre_scores_gemma":[0.9059203,0.0008782945,0.08640172,0.0002517066,0.0001529164,0.0006627515,0.0001349799,0.00004991057,0.00554746],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006809163,"threshold_uncertainty_score":0.01353908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008363148142955641,"score_gpt":0.1880381628584976,"score_spread":0.179675014715542,"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."}}