{"id":"W4378232224","doi":"10.22541/au.168499086.69554621/v1","title":"Fixed-time Event-Based Consensus Tracking for Networked Euler-Lagrange Systems with Limited-time State Constraint.","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Fundamental Research Funds for the Central Universities; China Scholarship Council; National Natural Science Foundation of China","keywords":"Backstepping; Zeno's paradoxes; Control theory (sociology); Computer science; Convergence (economics); Constraint (computer-aided design); Observer (physics); Discrete time and continuous time; Mathematical optimization; Control (management); Mathematics; Adaptive control; 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":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.002403061,0.001278302,0.001988686,0.0005221265,0.000338044,0.001975506,0.002858152,0.0006591197,0.00003469724],"category_scores_gemma":[0.0002021511,0.001113379,0.0006769737,0.0008463437,0.0002581455,0.0002184177,0.0007045213,0.0008380153,0.0007859808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004277158,"about_ca_system_score_gemma":0.001182489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006027759,"about_ca_topic_score_gemma":0.00009987605,"domain_scores_codex":[0.9920111,0.000748853,0.001855433,0.002444071,0.001224183,0.00171631],"domain_scores_gemma":[0.9911575,0.002989637,0.00154275,0.002667728,0.001087337,0.0005550078],"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":[0.0004142655,0.0003711013,0.0002563318,0.001693744,0.002242021,0.0005678775,0.0002982815,0.9401805,0.001298035,0.001714546,0.04257479,0.00838852],"study_design_scores_gemma":[0.00386289,0.0002571176,0.0001231424,0.001680667,0.0002145643,0.00004701236,0.00007785203,0.9886735,0.0001639445,0.0001356588,0.003355781,0.001407888],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003516953,0.0003910196,0.9777219,0.001664677,0.003658728,0.006543159,0.002036118,0.003701144,0.0007663417],"genre_scores_gemma":[0.9597054,0.00001172811,0.02479618,0.0003497944,0.0008294522,0.002684314,0.002053108,0.0003708481,0.009199255],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9561884,"threshold_uncertainty_score":0.9999969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03879036753104959,"score_gpt":0.256196492500132,"score_spread":0.2174061249690824,"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."}}